A Model for Predicting Chronic Kidney Diseases Based on Medical Data Using Reinforcement Learning

Author:

Nramban Kannan Senthil Kumar,Aseervatham Joshi,Moholkar Kavita,Palanimuthu Mithun,Marappan Saranya,Muthusamy Narendran,Sathar Banu,Sengan Sudhakar

Publisher

Springer Science and Business Media LLC

Reference58 articles.

1. Wu C, Zhou T, Tian Y, Wu J, Li J, Liu Z. A method for the early prediction of chronic diseases based on short sequential medical data. Artif Intell Med. 2022;127:102262.

2. Shanmugarajeshwari V, Ilayaraja M. intelligent prediction techniques for chronic kidney disease data analysis. Int J Artif Intell Mach Learn. 2021;2:19–37.

3. Xie G, Chen T, Li Y, Chen T, Li X, Liu Z. Artificial intelligence in nephrology: how can artificial intelligence augment nephrologists’ intelligence? Kidney Dis. 2019;1:1–6.

4. Mena Mamani N. Machine learning techniques and polygenic risk score application to prediction genetic diseases. Adv Distrib Comput Artif Intell J (ADCAIJ). 2020;9(1):5–14.

5. Ganie SM, Malik MB, Arif T. Early prediction of diabetes mellitus using various artificial intelligence techniques: a technological review. Int J Bus Intell Syst Eng. 2021;1(4):325.

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