Data Science-Based Prediction of Chronic Diseases using ML

Author(s)	C. Pragna, S. Vanursha, K. Pavani, V. Sunil, B. Chamundeswari Devi
Country	India
Abstract	Chronic kidney disorder (CKD) is a chief worldwide health problem. Because there are no apparent signs and symptoms inside the early stages of CKD, the ailment regularly goes undiagnosed via patients. Early detection is crucial to provoke activate remedy and slow the progression of the ailment. This takes a look at gives a gadget learning technique to useful resource in the analysis of chronic kidney disorder. Our approach utilizes the sturdy talents of random forests and logistic regression fashions, demonstrating their effectiveness in achieving fast and accurate identification. In addition, we are growing a consumer-pleasant web application to make the version available to most people with the purpose of improving early detection and lengthening the effectiveness of CKD treatment beyond the clinical setting.
Keywords	Diagnosis, Health, Identification, Decision Making, Prepossessing, Chronic Kidney Disorder (CKD).
Field	Engineering
Published In	Volume 7, Issue 4, April 2026
Published On	2026-04-04

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