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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.
| Autorius: | Vijendra Singh, Anu Batra, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2016 |
| Knygos puslapių skaičius: | 80 |
| ISBN-10: | 3659896411 |
| ISBN-13: | 9783659896415 |
| Formatas: | 220 x 150 x 5 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Predictive methodology to diagnose chronic kidney disease“
