Course Contents
Introduction of concepts, methods, and potential of intelligent systems in medicine: History and status quo, and decision support system. Application on any specific area of interest, Risk stratification, Data acquisition and pre-processing, Feature identification and extraction, Model selection and implementation, Model validation and evaluation with performance metrics, visualization and interpretability. Introduction to neural networks and applications in healthcare. Deep neural networks, Convolutional neural networks, ARIMA for time series forecasting, SHAP analysis for feature analysis and selection