Integrated Machine Learning Framework for Multi-Disease Prediction and Geolocation-Based Healthcare Recommendations

• Author(s): Reya Javaid; Arsalan; Shuraim Shakeel Bhat; B P Chandana
• Paper ID: 1713005
• Page: 1406-1409
• Published Date: 18-12-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 6 December-2025

Abstract

Chronic diseases such as diabetes, heart disease, breast cancer, and diabetic retinopathy continue to impose a substantial burden on healthcare systems due to delayed diagnosis and limited post-diagnostic guidance. Many existing digital health platforms focus solely on prediction while neglecting actionable follow-up, such as identifying suitable healthcare providers. This paper presents an integrated web-based machine learning framework that performs multi-disease risk prediction and provides location-based healthcare recommendations. The system supports four disease models: Logistic Regression for diabetes and diabetic retinopathy, and Random Forest classifiers for heart disease and breast cancer. Users manually input clinical parameters, which are preprocessed and evaluated using pre-trained models deployed on a centralized server. Experimental evaluation on publicly available datasets demonstrates classification accuracies of 75.32% for diabetes, 99.50% for diabetic retinopathy, 90.16% for heart disease, and 83.23% for breast cancer. Beyond prediction, the framework incorporates a geolocation module that recommends nearby hospitals and specialists based on the predicted outcome. The results indicate that combining disease prediction with post-prediction guidance improves practical usability, although clinical deployment would require validation on real-world patient data.

Keywords

Disease Prediction, Machine Learning, Healthcare Recommendation, Logistic Regression, Random Forest, Web-Based Healthcare System

Citations

IRE Journals:
Reya Javaid, Arsalan, Shuraim Shakeel Bhat, B P Chandana "Integrated Machine Learning Framework for Multi-Disease Prediction and Geolocation-Based Healthcare Recommendations" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 1406-1409 https://doi.org/10.64388/IREV9I6-1713005

IEEE:
Reya Javaid, Arsalan, Shuraim Shakeel Bhat, B P Chandana "Integrated Machine Learning Framework for Multi-Disease Prediction and Geolocation-Based Healthcare Recommendations" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1713005