A Comprehensive Analysis of Disease prediction Using Machine Learning-Medi Consult

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Authors: Dr. Devendra
Cited by: 0

Abstract

This is a thorough and timely investigation of any health-related issue is essential for disease prevention and treatment. The normal way of diagnosis may not be sufficient in the event of a serious illness. Medi Consult is an Android app that predicts illnesses using machine learning algorithms based on symptoms supplied by patients or users. Using the K Nearest Neighbor (KNN) technique, the system calculates the disease's likelihood. Medi Consult's use of linear regression and decision tree algorithms to forecast illnesses such as Diabetes, Malaria, Jaundice, and Dengue assists in accurate and fast disease diagnosis. It provides people with a handy approach to monitor their health and gain early identification of potentially lifethreatening disorders. The system's accuracy and quickness in forecasting illnesses aid in prompt medical intervention, resulting in better health outcomes. Furthermore, Medi Consult continually learns and improves its accuracy with each diagnosis, guaranteeing that it is up to speed with the most recent medical research and breakthroughs. Overall, Medi Consult is a helpful tool for both healthcare professionals and patients, enabling early illness identification and treatment and potentially saving lives.

Fields of Study & Subjects

Artificial Intelligence in Healthcare Internet of Things and AI Innovation in Digital Healthcare Systems

Publication details

Journal / source
International Journal for Research in Applied Science and Engineering Technology
Volume
14
Issue
2
Pages
491–496
Publication date
13 February 2026
Language
EN