Advanced Predictive System for Diagnosing Patient Disease through Machine Learning Techniques
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Abstract
The aim of this research is to develop a web application that predicts multiple diseases, including Diabetes, Breast Cancer, Heart Disease, Alzheimer disease, brain tumor, Covid-19, and Pneumonia, using machine learning and deep learning models. The models were trained on large datasets sourced from Kaggle. The study includes data collection, preprocessing, model selection, and deployment of the trained models. The application uses Python Flask as the web framework, and models such as CNN (for Covid-19, and Pneumonia) are integrated to ensure accurate predictions. This project achieved prediction accuracies of up to 97% for certain diseases, showing the viability of machine learning in healthcare applications. The findings suggest that the developed system could support early detection of disease and improve healthcare outcomes.