
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 2
April-June 2025
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MEDSCORE ASSIST
Author(s) | Archana B Biradar, Ananya Vithal Yergolkar, Adarsh Jaiswal, Ankita S Hegde, Gaurav Kumar |
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Country | India |
Abstract | MedScore Assist is an AI-powered health score prediction system that assesses risks for obesity, hypertension, and cardiovascular disease by combining clinical lab values (like LDL, HDL, and triglycerides) with lifestyle factors (like smoking and alcohol consumption). It was created using XGBoost and Streamlit and provides users with personalized health scores, actionable feedback, and comprehensive reports to aid in patient diagnosis. By analyzing health reports and offering tailored advice on diet, exercise, medications, and lifestyle, an integrated chatbot driven by OpenAI makes health management more proactive and approachable. A secure Firebase login ensures the privacy of user data. |
Keywords | XGBoost, Blood Pressure (Systolic & Diastolic), Total Cholesterol Level, LDL Cholesterol, HDL Cholesterol, Triglycerides, High-Sensitivity C-Reactive Protein (hs-CRP), One-Hot Encoding, OAuth 2.0, Firebase Authentication, Firebase Realtime Database, Chatbot, GPT, OpenAI API, Report Interpretation, Personalized Recommendations, Conversational AI. |
Field | Engineering |
Published In | Volume 16, Issue 2, April-June 2025 |
Published On | 2025-05-10 |
DOI | https://doi.org/10.71097/IJSAT.v16.i2.4829 |
Short DOI | https://doi.org/g9kc69 |
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IJSAT DOI prefix is
10.71097/IJSAT
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