Develop a healthcare analytics platform that examines patient medical records to predict potential diseases. The system will assist healthcare providers in early diagnosis by applying predictive modeling and visualizing patient risk factors.
Collect anonymized healthcare datasets.
Perform data cleaning and normalization.
Identify key medical attributes influencing disease outcomes.
Train classification models like Decision Trees and SVM.
Evaluate predictive accuracy using confusion matrices.
Create dashboards to visualize patient risk levels.
Implement alert mechanisms for high-risk predictions.
Ensure compliance with healthcare data privacy standards.
Test system scalability and performance.
Compile analytical reports.
