Marigold Health uses novel natural language processing to integrate text-based peer support groups with substance use and behavioral health care, giving stigmatized patients 24/7 access to personalized care, while allowing existing care managers and peer coaches to see a 10x gain in patient capacity

Marigold Health

A Treatise on Domestic Economy; For the Use of Young Ladies at Home and at School by Catharine Esther Beecher, is part of the HackerNoon Books Series. You can jump to any chapter in this book . ON THE CARE OF YARDS AND GARDENS. here CHAPTER XXXIV. ON THE CARE OF YARDS AND GARDENS. The authorities consulted in the preparation of this and kindred chapters, are, Loudon's Encyclopædia of Gardening, Bridgeman's Young Gardener, Hovey's Magazine of Horticulture, the writings of Judge Buel, and Downing's Landscape Gardening. [T] On the Preparation of Soil. If the garden soil be clayey, and adhesive, put on a covering of sand, three inches thick, and the same depth of well-rotted manure. Spade it in, as deep as possible, and mix it well. If the soil be sandy and loose, spade in clay and ashes. Ashes are good for all kinds of soil, as they loosen those which are close, hold moisture in those which are sandy, and destroy insects. The best kind of soil, is that, which will hold water the longest, without becoming hard, when dry. , take one fourth part of common soil, one fourth part of well-decayed manure, and one half of vegetable mould, from the woods, or from a chip-yard. Break up the manure, fine, and sift it through a lime-screen, (or coarse wire sieve.) These materials must be thoroughly mixed. When the common soil which is used, is adhesive, and, indeed, in most other cases, it is necessary to add sand, the proportion of which, must depend on the nature of the soil. To prepare Soil for Pot-plants Dig a pit, six feet long, five feet wide, and thirty inches deep. Make a frame, of the same size, with the back two feet high, the front fifteen inches, and the sides sloped from the back to the front. Make two sashes, each three feet by five, with the panes of glass lapping like shingles, instead of having cross bars. Set the frame over the pit, which should then be filled with fresh horse-dung, which has not lain long, nor been sodden by water. Tread it down, hard, then put into the frame, light, and very rich soil, ten or twelve inches deep, and cover it with the sashes, for two or three days. Then stir the soil, and sow the seeds in shallow drills, placing sticks by them, to mark the different kinds. Keep the frame covered with the glass, whenever it is cold enough to chill the plants; but at all other times, admit fresh air, which is indispensable to their health. When the sun is quite warm, raise the glasses, enough to admit air, and cover them with matting or blankets, or else the sun may kill the young plants. Water the bed at evening, with water which has stood all day, or, if it be fresh drawn, add a little warm water. If there be too much heat in the bed, so as to scorch or wither the plants, make deep holes, with stakes, and fill them up when the heat is reduced. In very cold nights, cover the box with straw. On the Preparation of a Hot Bed. On Planting Flower Seeds. Break up the soil, till it is very soft, and free from lumps. Rub that nearest the surface, between the hands, to make it fine. Make a circular drill, a foot in diameter. For seeds as large as sweet peas, it should be half an inch deep. The smallest seeds must be planted very near the surface, and a very little fine earth be sifted over them. Seeds are to be planted either deeper or nearer the surface, according to their size. After covering them with soil, beat them down with a trowel, so as to make the earth as compact as it is after a heavy shower. Set up a stick, in the middle of the circle, with the name of the plant heavily written upon it, with a dark lead pencil. This remains more permanent, if white lead be first rubbed over the surface. Never plant, when the soil is very wet. In very dry times, water the seeds at night. Never use very cold water. When the seeds are small, many should be planted together, that they may assist each other in breaking the soil. When the plants are an inch high, thin them out, leaving only one or two, if the plant be a large one, like the Balsam; five or six, when it is of a medium size; and eighteen or twenty of the smaller size. Transplanting, retards the growth of a plant about a fortnight. It is best to plant at two different times, lest the first planting should fail, owing to wet or cold weather. To Plant Garden Seeds. Make the beds a yard wide; lay across them a board, a yard long and a foot wide, and, with a stick, make a furrow, on each side of it, one inch deep. Scatter the seeds in this furrow, and cover them. Then lay the board over them and step on it, to press down the earth. When the plants are an inch high, thin them out, leaving spaces proportioned to their sizes. Seeds of a similar species, such as melons and squashes, should not be planted very near to each other, as this causes them to degenerate. The same kinds of vegetables should not be planted in the same place, for two years in succession. On Transplanting. Transplant at evening, or, which is better, just before a shower. Take a round stick, sharpened at the point, and make openings to receive the plants. Set them a very little deeper than they were before, and press the soil firmly round them. Then water them, and cover them for three or four days, taking care that sufficient air be admitted. If the plant can be removed, without disturbing the soil around the root, it will not be at all retarded, by transplanting. Never remove leaves and branches, unless a part of the roots be lost. To Re-pot House-Plants. Renew the soil, every year, soon after the time of blossoming. Prepare soil, as previously directed. Loosen the earth from the pot, by passing a knife around the sides. Turn the plant upside down, and remove the pot. Then remove all the matted fibres at the bottom, and all the earth, except that which adheres to the roots. From woody plants, like roses, shake off all the earth. Take the new pot, and put a piece of broken earthen-ware over the hole at the bottom; and then, holding the plant in the proper position, shake in the earth, around it. Then pour in water, to settle the earth, and heap on fresh soil, till the pot is even full. Small pots are considered better than large ones, as the roots are not so likely to rot, from excess of moisture. On the Laying out of Yards and Gardens. In planting trees, in a yard, they should be arranged in groups, and never planted in straight lines, nor sprinkled about, as solitary trees. The object of this arrangement, is, to imitate Nature, and secure some spots of dense shade and some of cleared turf. In yards which are covered with turf, beds can be cut out of it, and raised for flowers. A trench should be made around, to prevent the grass from running on them. These beds can be made in the shape of crescents, ovals, or other fanciful forms, of which, the figure below is one specimen. In laying out beds, in gardens and yards, a very pretty bordering can be made, by planting them with common flax seed, in a line about three inches from the edge. This can be trimmed, with shears, when it grows too high. On the Cultivation of Bulbs, and Tuberous Roots. For planting the , take one third part of leaf mould, half as much sand, and the remainder, earth from under fresh grass sods. Plant them in May. The bulb should not be set more than half its depth in the ground. Amaryllis The and are medium, or half-hardy, roots. They should be planted in soil which is enriched with cowdung, and the beds should be raised only an inch from the walk. They must be planted in October, in drills, two inches deep, the claws of the roots downward, and be shaded when they begin to bud. Anemone Ranunculus The must be planted in October, two inches deep, and four inches apart. In measuring the depth, always calculate from the top of the bulb. Crocus This must be planted in September, three or four inches deep; and need not be taken up but once in three years. Crown Imperial. Those who have greenhouses, or pits, plant the Gladiolus in October, and preserve it in pots through the Winter. Those who have not these conveniences, may plant these bulbs late in April. The earth must be composed of one half common soil, one fourth leaf mould, and one fourth sand. Plant them about an inch deep. Gladiolus. should be planted in October, eight inches apart, and three or four inches deep, in a rich soil. Hyacinths should be planted in October, two inches deep, in a rich soil, and should not be taken up oftener than once in three years. Jonquilles This should be planted in October, four inches deep; covered, through the Winter, with straw and leaves, six inches thick; and uncovered in the middle of March. Narcissus. Plant this in September, in a soil, composed of two thirds common earth, and one third leaf mould. The old bulb dies after blossoming, and is succeeded by a new one. Oxalis. Plant , in rich soil, in October, three inches deep. Tulips Plant late in April, in a rich, sandy soil. They are delicate plants, and should be covered, in case of frosts. Tuberoses should be planted two inches deep. Daffodils When bulbs have done flowering, and their leaves begin to decay, they should be taken up and dried, and kept in a dry place, till October, when they are to be replanted, taking off the offsets, and putting them in a bed by themselves. Bulbs which blossom in water, or are in any other way forced to bloom out of season, are so much exhausted by it, that it takes them two or three years to recover their beauty. Dig a hole, a foot and a half deep; fill it with very light, loose, and rich, soil; and drive in a stake, a yard and a half high, to which, to tie the future plants. Then set in the root, so that it shall be an inch below the soil, where the sprout starts. When the plants are two feet high, tie them to the stakes, and take off some of the lower side-shoots. Continue to tie them, as their growth advances. If the roots are planted in the open borders, without any previous growth, it should be done as early as the first of May, and they should be covered from the frosts. When they are brought forward, in pots or hot-beds, they should be put out, in the middle of June. It is said, by gardeners, that late planting, is better than early, for producing perfect flowers. In the Autumn, after the frosts have destroyed the tops, let the roots remain awhile in the ground, to ripen; then dig them up, and pack them away, in some place where they will neither mould, from dampness, nor freeze. In the Spring, these roots will throw out sprouts, and must then be divided, so as to leave a good shoot, attached to a piece of the tuber or old stem, and each shoot will make a new plant. It is stated, that if the shoots themselves, without any root, be planted in light soil, covered with a bell-glass, or large tumbler, and carefully watered, they will produce plants superior to those with roots. Dahlias. Annuals These are flowers which last only one season. They should be so planted, that the tallest may be in the middle of a bed, and the shortest at the edges; and flowers of a similar color should not be planted adjacent to each other. The following is a list of some of the handsomest Annuals, arranged with reference to their color and height. Those with a star before them, do best when sowed in the Autumn. Those with after them, are trailing plants. tr. SIX INCHES TO ONE FOOT HIGH. Ice Plant, Sweet Alyssum, White Leptosiphon, Walker's Schizopetalon, Blumenbachia insignis, *Candytuft. White. *Yellow Chryseis or Eschscholtzia, Sanvitalia procumbens, , Musk-flowered Mimulus. Yellow. tr. Many-flowered Catchfly, Rose-colored Verbena, Rose. tr. *Chinese Annual Pink, Virginian Stock, Calandrinia Speciosa. Red. Graceful Lobelia, Nemophila insignis, Clintonia pulchella, Clintonia elegans, Nolana atriplicifolia, , Anagallis indica, Commelina cœlestis, Grove Love, Pimpernel (blue.) Blue. tr. *Heart's Ease, or Pansy, Dwarf Love in a Mist, *Rose Campion. Varying Colors. ONE FOOT TO EIGHTEEN INCHES HIGH. Venus's Looking Glass, Priest's Schizanthus, Sweet-scented Stevia, White Evening Primrose. White. Drummond's Coreopsis, *New Dark Coreopsis, Golden Hawkweed, Dracopis amplexicaulis, Drummond's Primrose, Cladanthus arabicus, Peroffsky's Erysimum. Yellow. Drummond's Phlox, Rodanthe, Rose-colored Nonea, Clarkia rosea, Silene Tenorei, Silene armeria. Rose. Crimson Coxcomb, Silene pendula, Crimson Dew Plant, Red. tr. Cacalia coccinea, Flos Adonis, Scarlet Zinnia, Mexican Cuphea. Scarlet. Clarkia elegans, Clarkia pulchella, *Purple Candytuft, *Purple Petunia, , *Crimson Candytuft, Double Purple Jacobæa, Leptosiphon androsaceus, all the varieties of Schizanthus, Veined Verbena, , *Purple eternal Flower. Lilac and Purple. tr. tr. Ageratum Mexicanum, *Gilia capitata, Spanish Nigella, Blue Eutoca, Dwarf Convolvulus, Didiscus cœruleus. Blue. , or Collinsia bicolor, Gilia tricolor. Lilac, Purple Blue and White. Lotus Jacobæus, Salpiglossis, Scabious. Very Dark. German Aster, Balsam, Rocket Larkspur, Ten-week Stock, Poppy. Colors varying. EIGHTEEN INCHES TO TWO FEET. *White Petunia, , White Clarkia, Double White Jacobæa, Love in a Mist. White. tr. *Lavatera trimestris, Red Zinnia, Malva miniata. Red. Globe Amaranthus, Purple Sweet Sultan, Sweet Scabious, Purple Zinnia, Prince's Feather, Large Blue Lupine, *Catchfly. Lilac and Purple. TWO FEET AND UPWARDS. Winged Ammobium, *White Lavatera, White Sweet Sultan, *New White Eternal Flower, White Helicrysum, *White Larkspur. White. Golden Bartonia, *Golden Coreopsis, Yellow Sweet Sultan, African Marigold, Yellow Argemone, French Marigold, Yellow Coxcomb, Yellow Hibiscus. Yellow. The Malope grandiflora and the Cleome are fine tall annuals. Climbing Plants. The following are the most beautiful : Crimson, and White, Cypress Vine; White, and Buff, Thunbergia; Scarlet Flowering Bean; Hyacinth Bean Loasa; Morning Glory; Crimson, and Spotted, Nasturtium; Balloon Vine; Sweet Pea; Tangier Pea; Lord Anson's Pea; Climbing Cobæa; Pink, and White, Maurandia. annual climbers The following are the most valuable : Sweet-scented Monthly Honeysuckle; Yellow, White, and Coral, Honeysuckles; Purple Glycine; Clematis; Bitter Sweet; Trumpet Creeper. perennial climbers The Everlasting Pea is a beautiful perennial climber. The Climbing Cobæa, and Passion Flower, are also beautiful perennials, but must be protected in Winter. Perennials. Those who cannot afford every year to devote the time necessary to the raising of annuals, will do well to supply their borders with perennials. The following is a list of some of those generally preferred. Adonis, yellow; Columbine, all colors; Alyssum, yellow; Asclepias, orange and purple; Bee Larkspur, blue; Perennial Larkspur, all colors; Cardinal Flower, scarlet; Chinese Pink, various colors; Clove Pink; Foxglove, purple and white; Gentian, purple and yellow; Hollyhock, various colors; *Lily of the Valley; American Phlox, various colors; Scarlet Lychnis; Monkshood, white and blue; *Spirea, white, and pink; *Ragged Robin, pink; Rudbeckia, yellow, and purple; Sweet William, in variety. Those marked with a star cannot be obtained from seed, but must be propagated by roots, layers, &c. Herbaceous Roots. These are such as die to the root, in the Fall, and come up again in the Spring, such as Pæonies, crimson, white, sweet-scented, and straw-colored; Artemisia, of many colors; White and Purple Fleur-de-lis; White, Tiger, Fire, and other Lilies; Little Blue Iris; Chrysanthemums, &c. These are propagated by dividing the roots. Shrubs. The following are the finest : Lilacs, (which, by budding, can have white and purple on the same tree,) Double Syringas, Double Althæas, Corchorus Japonicus, Snow-berry, Double-flowering Almond, Pyrus Japonica, Common Barberry, Burning Bush, Rose Acacia, Yellow Laburnum. The following are the finest Roses: Moss Rose, White, and Red; Double and Single Yellow Rose, (the last needs a gravelly soil and northern exposure;) Yellow Multiflora; La Belle Africana; Small Eglantine, for borders; Champney's Blush Rose; Noisette; Greville, (very fine;) Damask; Blush, White, and Cabbage Roses. Moss Roses, when budded on other rose bushes, last only three years. Shrubs for yards The following are among the finest: Mountain Ash; Ailanthus, or Tree of Heaven, (grows very fast;) Tulip Tree; Linden; Elm; Locust; Maple; Dog Wood; Horse Chestnut; Catalpa; Hemlock; Silver Fir; and Cedar. These should be grouped, in such a manner that trees of different shades of green, and of different heights, should stand in the same group. Shade Trees. The Autumn is the best time for transplanting trees. Take as much of the root, as possible, especially the little fibres, which should never become dry. If kept long, before they are set out, put wet moss around them, and water them. Dig holes, larger than the extent of the roots; let one person hold the tree in its former position, and another place the roots, carefully, as they were before, cutting off any broken or wounded root. Let the soil be soft, and well manured; shake the tree, as the soil is shaken in, that it may mix well among the small fibres. Do not tread the earth down, while filling the hole; but, when it is full, raise a slight mound, of, say, four inches, and then tread it down. Make a little basin, two inches deep, around the stem, to hold water, and fill it. Never cut off leaves nor branches, unless some of the roots are lost. Tie the trees to a stake, and they will be more likely to live. Water them often. Be careful not to let the tree be more than an inch deeper than it was before. On the Care of House-Plants. The soil of house-plants should be renewed every year, as previously directed. In Winter, they should be kept as dry as they can be without wilting. Many house-plants are injured by giving them too much water, when they have little light and fresh air. This makes them grow spindling. The more fresh air, warmth, and light, they have, the more water is needed. They ought not to be kept very warm in Winter, nor exposed to great changes of atmosphere. Forty degrees is a proper temperature for plants in Winter, when they have little sun and air. When plants have become spindling, cut off their heads, entirely, and cover the pot in the earth, where it has the morning sun, only. A new and flourishing head will spring out. Few house-plants can bear the sun at noon. When insects infest plants, set them in a closet, or under a barrel, and burn tobacco. The smoke kills any insect enveloped in it. When plants are frozen, cold water, and a gradual restoration of warmth, are the best remedies. Never use very cold water for plants, at any season. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Catharine Esther Beecher (2007). A Treatise on Domestic Economy; For the Use of Young Ladies at Home and at School. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/21829/pg21829-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

ON THE CARE OF YARDS AND GARDENS.

Creatures of the Light

Matthew Cuthbert is surprised

To Kipps, London was a Third World

Ann Veronica Talks to Her Father

How Did Mahesh Kambala Contribute to the Fight Against COVID-19? During the global COVID-19 pandemic, the healthcare industry faced unprecedented challenges that highlighted the importance of healthcare analytics in addressing data gaps and managing resources. Prioritizing and integrating analytics with healthcare objectives was crucial for saving lives, addressing weaknesses, and improving preparedness for future disruptions. With more than 88% of healthcare experts acknowledging a heightened requirement for analytics, the emergency underscored the value of data in handling public health crises. Mahesh Kambala,  with 15 years of professional experience in information technology, has honed his data analytics, ETL, machine learning, and AI skills. He has held significant positions in renowned organizations spanning diverse industries such as healthcare, banking, telecom, and retail. Kambala's knowledge in healthcare analytics proved invaluable while developing tools like the "COVID Dashboards." These dashboards empowered doctors and healthcare providers by equipping them with real-time patient data, enabling them to swiftly identify and address COVID-19 cases. His contributions during the pandemic underscore the vital role of technology and data analytics in healthcare, particularly in times of crisis. This article will explore the significance of analytics in healthcare amid the COVID-19 epidemic and showcase Mahesh Kambala's impact on the healthcare industry. The Need for Next-Gen Healthcare Analytics The COVID-19 pandemic has shown how critical healthcare data and analytics are in handling a global health crisis. It has revealed areas for improvement in the healthcare industry's preparedness and system integration. At the start of the pandemic, it became clear that there was a significant lack of reliable data and adequate analytics capabilities, which are crucial for understanding the spread and impact of the disease. Healthcare organizations faced operational overhauls to address missing data, revealing inefficiencies. The financial instability and well-being of frontline staff, who were dealing with fatigue and burnout engaging with patients, highlighted the importance of a robust analytics infrastructure for effective resource management even more. The next generation of healthcare analytics, which utilizes advanced technologies like AI and Big Data Analytics (BDA), presents an answer to these challenges. By incorporating sophisticated algorithms and machine learning, next-gen analytics can improve the accuracy and speed of data analysis, allowing for real-time tracking of disease spread and identification of at-risk populations. These analytics can streamline data collection and integration, ensuring that healthcare providers have access to timely and reliable information for decision-making. Additionally, predictive analytics can forecast outbreaks and inform proactive strategies for resource allocation, potentially alleviating financial strains. Mahesh Kambalan's Contribution to Next-Gen Healthcare Analytics Mahesh Kambala has introduced solutions to address the challenges brought upon the healthcare industry during the COVID-19 pandemic. His leadership in developing "COVID Dashboards," specifically designed for healthcare providers, has improved healthcare analytics by providing real-time insights into patients' data affected by COVID-19. Kambala's proactive approach and expertise have helped make informed care decisions, representing a significant leap forward in utilizing technology to manage health crises effectively. His work demonstrates his dedication to harnessing technology for the betterment of society and emphasizes the vital importance of timely and accurate data in crisis management. The COVID Dashboards boast several vital features, including the ability to visualize real-time data, identify patient risks based on their medical history, and enable healthcare providers to deliver necessary care promptly. The advantages of these dashboards are manifold. Healthcare providers can now swiftly detect and respond to emerging COVID-19 cases, ensuring targeted interventions and optimizing the allocation of medical resources. By enabling early detection and intervention, these dashboards have significantly enhanced patient care, reducing hospitalizations and improving operational efficiency within healthcare facilities. For instance, Kambala's innovative tool facilitated the quick identification of at-risk individuals, ensuring timely care and potentially saving lives. The tool is a testament to Kambala's approach to utilizing technology to serve humanity, showcasing how advanced healthcare analytics can improve patient care and operational dynamics in healthcare settings during and beyond the pandemic. The Future of Next-Gen Healthcare Analytics In the fight against COVID-19, Mahesh Kambala has made a mark in healthcare analytics by developing "COVID Dashboards." These innovative tools have harnessed the power of artificial intelligence (AI) and machine learning (ML) to provide real-time insights into the pandemic's spread. These dashboards have improved patient care and operational efficiency, enabling healthcare providers to make informed decisions swiftly. Through Kambala's tireless efforts and the utilization of cutting-edge analytics tools like the "COVID Dashboards," the ability of technology to serve humanity, particularly during crises, becomes increasingly apparent. His work is a powerful testament to the tangible difference advanced analytics can make in the healthcare industry. -Written by Belle Villaluz This story was distributed by Jon Stojan Media under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author How Did Mahesh Kambala Contribute to the Fight Against COVID-19? During the global COVID-19 pandemic, the healthcare industry faced unprecedented challenges that highlighted the importance of healthcare analytics in addressing data gaps and managing resources. Prioritizing and integrating analytics with healthcare objectives was crucial for saving lives, addressing weaknesses, and improving preparedness for future disruptions. With more than 88% of healthcare experts acknowledging a heightened requirement for analytics, the emergency underscored the value of data in handling public health crises. 88% of healthcare experts 88% of healthcare experts Mahesh Kambala ,  with 15 years of professional experience in information technology, has honed his data analytics, ETL, machine learning, and AI skills. He has held significant positions in renowned organizations spanning diverse industries such as healthcare, banking, telecom, and retail. Kambala's knowledge in healthcare analytics proved invaluable while developing tools like the "COVID Dashboards." These dashboards empowered doctors and healthcare providers by equipping them with real-time patient data, enabling them to swiftly identify and address COVID-19 cases. His contributions during the pandemic underscore the vital role of technology and data analytics in healthcare, particularly in times of crisis. Mahesh Kambala Mahesh Kambala This article will explore the significance of analytics in healthcare amid the COVID-19 epidemic and showcase Mahesh Kambala's impact on the healthcare industry. The Need for Next-Gen Healthcare Analytics The COVID-19 pandemic has shown how critical healthcare data and analytics are in handling a global health crisis. It has revealed areas for improvement in the healthcare industry's preparedness and system integration. At the start of the pandemic, it became clear that there was a significant lack of reliable data and adequate analytics capabilities, which are crucial for understanding the spread and impact of the disease. Healthcare organizations faced operational overhauls to address missing data, revealing inefficiencies. The financial instability and well-being of frontline staff, who were dealing with fatigue and burnout engaging with patients, highlighted the importance of a robust analytics infrastructure for effective resource management even more. The next generation of healthcare analytics, which utilizes advanced technologies like AI and Big Data Analytics (BDA) , presents an answer to these challenges. By incorporating sophisticated algorithms and machine learning, next-gen analytics can improve the accuracy and speed of data analysis, allowing for real-time tracking of disease spread and identification of at-risk populations. These analytics can streamline data collection and integration, ensuring that healthcare providers have access to timely and reliable information for decision-making. Additionally, predictive analytics can forecast outbreaks and inform proactive strategies for resource allocation, potentially alleviating financial strains. AI and Big Data Analytics (BDA) AI and Big Data Analytics (BDA) Mahesh Kambalan's Contribution to Next-Gen Healthcare Analytics Mahesh Kambala has introduced solutions to address the challenges brought upon the healthcare industry during the COVID-19 pandemic. His leadership in developing "COVID Dashboards," specifically designed for healthcare providers, has improved healthcare analytics by providing real-time insights into patients' data affected by COVID-19. Kambala's proactive approach and expertise have helped make informed care decisions, representing a significant leap forward in utilizing technology to manage health crises effectively. His work demonstrates his dedication to harnessing technology for the betterment of society and emphasizes the vital importance of timely and accurate data in crisis management. The COVID Dashboards boast several vital features, including the ability to visualize real-time data, identify patient risks based on their medical history, and enable healthcare providers to deliver necessary care promptly. The advantages of these dashboards are manifold. Healthcare providers can now swiftly detect and respond to emerging COVID-19 cases, ensuring targeted interventions and optimizing the allocation of medical resources. By enabling early detection and intervention, these dashboards have significantly enhanced patient care, reducing hospitalizations and improving operational efficiency within healthcare facilities. For instance, Kambala's innovative tool facilitated the quick identification of at-risk individuals, ensuring timely care and potentially saving lives. The tool is a testament to Kambala's approach to utilizing technology to serve humanity, showcasing how advanced healthcare analytics can improve patient care and operational dynamics in healthcare settings during and beyond the pandemic. The Future of Next-Gen Healthcare Analytics In the fight against COVID-19, Mahesh Kambala has made a mark in healthcare analytics by developing "COVID Dashboards." These innovative tools have harnessed the power of artificial intelligence (AI) and machine learning (ML) to provide real-time insights into the pandemic's spread. These dashboards have improved patient care and operational efficiency, enabling healthcare providers to make informed decisions swiftly. Through Kambala's tireless efforts and the utilization of cutting-edge analytics tools like the "COVID Dashboards," the ability of technology to serve humanity, particularly during crises, becomes increasingly apparent. His work is a powerful testament to the tangible difference advanced analytics can make in the healthcare industry. -Written by Belle Villaluz -Written by Belle Villaluz -Written by Belle Villaluz This story was distributed by Jon Stojan Media under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Jon Stojan Media under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Jon Stojan Media under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author https://business.hackernoon.com/brand-as-author

Mahesh Kambalan on Next-Gen Healthcare Analytics

নেক্সট-জেন হেলথকেয়ার অ্যানালিটিক্সে মহেশ কাম্বলান

Mahesh Kambalan über Gesundheitsanalysen der nächsten Generation

Mahesh Kambalan sobre análisis sanitarios de próxima generación

Mahesh Kambalan sur l'analyse des soins de santé de nouvelle génération

महेश कम्बलन ने अगली पीढ़ी के स्वास्थ्य सेवा विश्लेषण पर बात की

次世代ヘルスケア分析について語るマヘシュ・カンバラン

차세대 의료 분석에 관한 Mahesh Kambalan

Mahesh Kambalan sobre análise de saúde de última geração

Махеш Камбалан об аналитике в сфере здравоохранения нового поколения

Mahesh Kambalan, Yeni Nesil Sağlık Hizmetleri Analizi Konusunda

Mahesh Kambalan trên Phân tích chăm sóc sức khỏe thế hệ tiếp theo

Mahesh Kambalan 谈下一代医疗分析

GAN or Generative Adversarial Network is one of the most fascinating inventions in the field of AI. All the amazing news articles we come across every day, related to machines achieving splendid human-like tasks, are mostly the work of GANs! For instance, if you ever heard of AI bots which create human-like paintings, it is essentially GANs behind the awe-inspiring strokes. Or if you have heard of AI bots which create human faces from scratch, faces which do not even exist yet, that too is entirely the imaginative work of powerful GANs. “GANGogh”: Paintings of flowerpots by GANs; Courtesy: towardsdatascience GANs have a lot of applications and one is often led to wonder how simple machines can achieve such fascinating and in fact, extensively creative accomplishments so efficiently. If you are an observer of the real world, you might have noticed that an individual, whether it be an individual from the animal or plant kingdom, often grows stronger when it faces any sort of competition. A seed which beats its siblings by being more absorbent to the nutrients and water in the soil, grows into a strong and healthy tree, increasing the chances of stronger descendants as the generations proceed. A boxing contender estimates the quality of his/her fellow contenders to prepare accordingly. The stronger the contenders, the higher is the quality of preparation. Almost mimicking the real world, GANs follow suit and go by the architecture of . Adversarial training is nothing but “learning by comparison”. The information possessed by the adversary is studied such that other instances of the information of the same category can be furnished with least flaws such that the adversary cannot detect that the information is from an alien source. adversarial training There are two counterparts in a GAN: the generator and the discriminator. The work of the generator is to tweak the outputs such that they are indistinguishable from the originals. The work of the discriminator is to judge if the generated piece is up to mark and can be classified at par with the already present samples. Otherwise, the cycle is repeated unless the generator generates a good enough image which the discriminator passes as a credible sample. GAN Architecture; Courtesy: GeeksforGeeks For instance, if a GAN is trained on a set of poems, it should be able to come up with poems of its own. However, as splendid as it sounds, training GANs is not an easy task. There are several ongoing research initiatives to identify ways to minimize the flaws in the generated data. Applications of GANs are manifold and among these, the healthcare industry has also benefited majorly. For instance, terenz.ai uses GANs effectively to provide super-resolution to medical imaging. Radiography, ultrasound, elastography, magnetic resonance imaging and several other such salient tests generate varied images which often needs refining, especially if the imaging equipment is of relatively low quality. Courtesy: terenz.ai Imagine using a GAN to provide super-resolution to say, radiography reports/images. This can be done by training the GAN with several previously acquired high-resolution radiography images. This would mean that the information from high-quality radiography imaging equipment can be leveraged even in areas where a relatively poorer quality of the equipment is at disposal. To use the GAN architecture, usually, the resolution of high-quality images is brought down to low resolution and fed to the generator. The generator tries to increase the resolution such that the discriminator passes it as a credible image. The cycle continues unless the loss of the generator function, with respect to the discriminator function (or adversarial loss), is minimized. It requires a high degree of patience to train GANs to attain super-resolution images because it has to learn to provide both detailed finer structures as well as larger structures at the same time. This makes training the generator difficult since it becomes very easy for the discriminator to distinguish tiny differences in the finer structures. For this, an optimum convergence point must be attained such that both generator and discriminator do not allow the demise of the other. Indeed, it is a very fine process, but once achieved, it has the ability to change the face of not only healthcare imaging but also a variety of use cases in major sectors worldwide.

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