Clinical Decision Support and Health Data Analytics
This course provides students with an introduction to the foundations of clinical decision support and the application of analytics within healthcare. The course begins with a high level survey of clinical decision support and many of the organizational, cultural, regulatory and legal implications of using analytics in the clinical environment. The course continues with a survey of statistical and machine learning techniques including both supervised and unsupervised learning. Supporting topics such as feature extraction and measuring performance will be woven in throughout the course. The course ends with a quick review of visualization techniques and the importance of effective communication of the results and output of analytics systems, especially in the clinical context.