Forecasting Trends of Tuberculosis in India using Artificial Intelligence and Machine Learning

被引：1
|
作者：
Dulera, Jay [1 ]
Ghosalkar, Rohan [1 ]
Bagchi, Arnav [1 ]
Makhijani, Khushi [1 ]
Giri, Nupur [1 ]
机构：
[1] Vivekanand Educ Soc Inst Technol, Dept Comp Engn, Chembur, India
来源：
2021 IEEE 9TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2021) | 2021年
关键词：
Epidemiology; Intelligent Systems; Medical information systems; Artificial Intelligence; Supervised Learning;
D O I：
10.1109/ICHI52183.2021.00102
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Epidemiology of a disease provides a thorough and exhaustive analysis of the transmission and control of viral infections. The intended outcome aims to exercise various Artificial Intelligence and Machine Learning models in order to understand the substantial effects of tuberculosis in India. A host of tuberculosis data segregated in co-morbidities (Paediatric, Geriatric, HIV) from multiple states and districts of India will be correlated with climate data, accustomed to bring optimal precision to the prediction model in order to increase the efficacy of the system. A graphic user interface will be provided to improve the comprehension of the expected solution to assist in geographically visualizing the control of Tuberculosis in India and its effects in the near future.
引用
收藏
页码：543 / 547
页数：5
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