Healthcare Chat Application for Diseaseprediction using Machine Learning

This project aims to develop a machine-learning-powered healthcare chat application that predicts potential diseases and offers personalized health recommendations. It features three main portals: heart diseases, infectious diseases, and chronic diseases. Users provide basic information and complete a symptom questionnaire, after which the system uses Decision Tree and Random Forest algorithms to predict likely diseases with an accuracy score. The app also suggests natural remedies, dietary advice, and links to healthcare professionals, making healthcare more accessible and proactive.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-04-07
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.38904
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
0.00
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article

Healthcare Chat Application for Diseaseprediction using Machine Learning

Eugloire Charden Goma, G. Manasa, B. M. Manjula, Oleksandr V. Nikolenko et al.
International Journal For Multidisciplinary Research
Mental Health via Writing
article

Healthcare Chat Application for Diseaseprediction using Machine Learning

Eugloire Charden Goma, G. Manasa, B. M. Manjula, Oleksandr V. Nikolenko, Ines Monika
article en

Abstract

This project aims to develop a machine-learning-powered healthcare chat application that predicts potential diseases and offers personalized health recommendations. It features three main portals: heart diseases, infectious diseases, and chronic diseases. Users provide basic information and complete a symptom questionnaire, after which the system uses Decision Tree and Random Forest algorithms to predict likely diseases with an accuracy score. The app also suggests natural remedies, dietary advice, and links to healthcare professionals, making healthcare more accessible and proactive.

International Journal For Multidisciplinary ResearchVol. 7(2)
Openalex Percentile: Top 93%
Mental Health via Writing
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