Predictive Analytics: Case Studies on Predictive Analytics for Healthcare

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. 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 model's 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, you'll be able to identify healthcare use cases for AI and its limitations.