Diabetes and Heart Disease Prediction using ML |
Author(s): |
| Siddhi Nitin Pokade , saurabhathalye@famt.ac.in; Aaditya P. Marathe, Finolex Academy of Management and Technology; Purva P. Karlekar, Finolex Academy of Management and Technology; Alina H. Khatib, Finolex Academy of Management and Technology; Saurabh S. Athalye, Finolex Academy of Management and Technology |
Keywords: |
| Prediction of Diabetes, Heart Disease, Machine Learning, Dataset, SVM, KNN, Logistic Regression |
Abstract |
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Every day, machine learning is improving the field of medicine. The concept [2] of machine learning has quickly become very attractive to the healthcare industry. It helps doctors diagnose diseases more accurately, nurses admit patients more quickly, and pharmacists develop drugs more efficiently and safely. The paper presents a method for identifying significant features using machine learning algorithms, which improves the diagnosis of multipurpose disease prediction. The prediction model for heart disease and diabetes is implemented using several characteristics and well-known classification algorithms. The web application is also developed for users to avail of its services very easily and make it convenient for their use, particularly in the prediction of heart and diabetes collectively. |
Other Details |
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Paper ID: IJSRDV11I20109 Published in: Volume : 11, Issue : 2 Publication Date: 01/05/2023 Page(s): 228-233 |
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