Healthcare Chat Application for Diseaseprediction using Machine Learning

Author(s)	Manjula B, Manasa G, Nithya Nandhini V, Monika I, Goma E
Country	India
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.
Keywords	Healthcare Chat Application, Disease Prediction, Machine Learning, Decision Tree Algorithm, Random Forest Algorithm, Symptom Analysis, Heart Diseases, Infectious Diseases, Chronic Diseases, Personalized Health Recommendations, Natural Remedies, Artificial Intelligence in Healthcare, Healthcare Accessibility, Predictive Healthcare Models, User Interface in Healthcare Apps
Field	Biology > Medical / Physiology
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-07
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.38904
Short DOI	https://doi.org/g9dnb5

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International Journal For Multidisciplinary Research