| Autor: |
B. A., Praveenkumar, A., Srinivas, N. H., Swati, G., Shravanya, M., Devivaraprasad, S. K., Anush, M., Amogh, K., Suresh |
| Předmět: |
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| Zdroj: |
ASCI Journal of Management; 2017 Special issue, Vol. 46, p137-149, 13p |
| Abstrakt: |
Spatial epidemiology can play a vital role in the health care systems especially in a developing country like India. Application of data analytics is one such field which is gaining momentum in the field of health care. This paper proposes one way to meet the growing need for better and efficient health care systems in the rural regions. We report the work on spatial epidemiology and Bayesian analytics for identifying diseases and its determinants among school children in a rural area of Andhra Pradesh, South India. Bayesian models have become a standard approach to disease mapping and decision making process. Data analytics models such as these, not only speed up the process of diagnosis but also reduce human error. Analytics can be used to identify important correlations between diseases and their causes as well as coexistence of two or more diseases based on specific geographic variations. These predefined correlations can greatly help healthcare in rural India where lack of doctors and medical equipment are the major constraints. The predefined correlations between diseases and demographic factors help the government to take better and informed decisions while introducing new schemes. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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