System for Predicting Multiple Illnesses

Authors

  • Sakshi Sharma
  • Rajat Bhardwaj
  • Satyam Kumar Mishra
  • Abhishek Shivhare

Keywords:

Diabetes, Heart disease, K nearest neighbors (KNN), Logistic regression, Parkinson's disease, Support vector machine (SVM)

Abstract

Machine learning is very essential in today's society. They are present in all disciplines, like robotics, medicine, research, smartphone and so on. Patient data generated by the medical sector can be reports, billing data, future appointments, personal details, and so on are handled in numerous ways. Therefore, we developed the Multiple Diseases Prediction System with the help of Machine learning to make this job simple. This system can identify multiple diseases on a single platform So, that patients or medical experts can find multiple solutions in one place and they do not need to traverse at different sites. Nowadays numerous systems already exist in the market, but they only accurately forecast one disease with a low accuracy rate. Lower accuracy can result in inaccurate predictions, which can affect the patient's health by suggesting a misdiagnosis. Heart illness, diabetes, and Parkinson's disease are three conditions that our system is capable of handling. The patient only needs to enter the requested information into our system and it will provide the diagnosis. Our system will offer superb accuracy, which will lead to an accurate diagnosis. Thus, the patient can improve their quality of life by taking the necessary measures.

Published

2023-05-22

Issue

Section

Articles