Verwandte Artikel zu Predictive methodology to diagnose chronic kidney disease
Inhaltsangabe
Medical Industry is growing at brisk pace and is also getting digitalized. Health industry is generating large amount of data with the help of electronic health records. Large volume of unstructured, semi-structured and structured data is being generated. It thus becomes important to leverage the actual potential of the highly un-structured data generated. In developing countries like India, one of the major contributors of lethality and disorder is a non-communicable disease, Chronic Kidney Disease. More caution is needed towards primordial diagnosis of the disease. Chronic Kidney disease originates in a person based on the various factors like age, blood pressure, sugar level, protein, sex and many more. In this Book an automated system is developed which helps detect the disease at an early stage by taking into consideration all the factors responsible for the occurrence of the disease. This system can help foretell the occurrence of the disease which can be beneficial for the patients to get right cure at an early stage.
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Reseña del editor
Medical Industry is growing at brisk pace and is also getting digitalized. Health industry is generating large amount of data with the help of electronic health records. Large volume of unstructured, semi-structured and structured data is being generated. It thus becomes important to leverage the actual potential of the highly un-structured data generated. In developing countries like India, one of the major contributors of lethality and disorder is a non-communicable disease, Chronic Kidney Disease. More caution is needed towards primordial diagnosis of the disease. Chronic Kidney disease originates in a person based on the various factors like age, blood pressure, sugar level, protein, sex and many more. In this Book an automated system is developed which helps detect the disease at an early stage by taking into consideration all the factors responsible for the occurrence of the disease. This system can help foretell the occurrence of the disease which can be beneficial for the patients to get right cure at an early stage.
Biografía del autor
Singh Vijendra received his PhD degree in Engineering and M Tech degree in CSE from BIT, Mesra, Ranchi, India. He is currently working as an Associate Professor in the Department of CSE at The NorthCap University, Gurgaon, India.Anu Batra received his B Tech in CSE degree and pursuing M.Tech in CSE at The NorthCap University, Gurgaon, Haryana.
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Predictive methodology to diagnose chronic kidney disease
Verlag:
LAP LAMBERT Academic Publishing Mai 2016, 2016
ISBN 10: 3659896411
ISBN 13: 9783659896415
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -Medical Industry is growing at brisk pace and is also getting digitalized. Health industry is generating large amount of data with the help of electronic health records. Large volume of unstructured, semi-structured and structured data is being generated. It thus becomes important to leverage the actual potential of the highly un-structured data generated. In developing countries like India, one of the major contributors of lethality and disorder is a non-communicable disease, Chronic Kidney Disease. More caution is needed towards primordial diagnosis of the disease. Chronic Kidney disease originates in a person based on the various factors like age, blood pressure, sugar level, protein, sex and many more. In this Book an automated system is developed which helps detect the disease at an early stage by taking into consideration all the factors responsible for the occurrence of the disease. This system can help foretell the occurrence of the disease which can be beneficial for the patients to get right cure at an early stage.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch. Artikel-Nr. 9783659896415
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Predictive methodology to diagnose chronic kidney disease
Verlag:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659896411
ISBN 13: 9783659896415
Neu
Paperback
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock. Artikel-Nr. 3659896411
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