Predictive Analytics: Case Studies on Predictive Analytics for Healthcare

Healthcare aims to improve the health of individuals but generally healthcare systems tend to be extremely strained. Using artificial intelligence (AI) with healthcare could potentially mitigate this strain on the system. In this course examine how AI is used in healthcare how to evaluate classification models and the metrics that are significant in models used in disease diagnosis. Next discover the importance of a models recall or sensitivity and the computation of the ROC curve and AUC metrics. Finally explore the process of compiling the datasets training and evaluating models from research papers that take a general look at the application of AI in disease and specific ailment diagnosis. Upon completion youll be able to identify healthcare use cases for AI and its limitations.