• Ankush S. Narkhede
• Akash V.Talele
• Dhanashree M. Chim
• Neha V. Varade
• Apurva P. Kharche

In recent years, the global healthcare landscape has witnessed significant challenges due to the rising burden of chronic diseases, epidemics, and pandemics. Despite advances in medical technology, early disease detection remains a critical issue. Traditional methods of diagnosis are often time-consuming, expensive, and sometimes prone to human error. With the increasing volume of medical data, there is a pressing need for AI-based systems that can analyses patterns and predict diseases before they become critical. One of the important real-world medical problems is the detection of diseases at its early stage. In this study, systematic efforts are made in designing a system which results in the prediction of disease like disease. During this work, three machine learning classification algorithms are studied and evaluated on various measures. In future, the designed system with the machine learning and data processing approach can be used to predict or diagnose other diseases

Data, Disease, Data processing etc.

"A review on disease prediction system using data processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.d606-d608, February-2025, Available :http://www.jetir.org/papers/JETIR2502367.pdf

"A review on disease prediction system using data processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppd606-d608, February-2025, Available at : http://www.jetir.org/papers/JETIR2502367.pdf