Opening the Black Box Series: Learning Health Systems

Learning Health Systems

by Professor Niels Peek

Another exciting talk is coming to the "Opening the black box" series. 

About the speaker

Niels Peek is Professor of Health Informatics and Strategic Research Domain Director for Digital Health at the University of Manchester. He has a background in Computer Science and Artificial Intelligence, and his research focuses on data-driven methods for health research, healthcare quality improvement, and computerised decision support. From 2013 to 2017 he was the President of the Society for Artificial Intelligence in Medicine (AIME). He is a member of the editorial boards of the Journal of the American Medical Informatics Association and the Artificial Intelligence in Medicine journal. In April 2017, he organised the Informatics for Health 2017 conference in Manchester which was attended by more than 800 people from 30 countries. He also co-chaired the Scientific Programme Committee of MEDINFO-2017, the 16th World Congress on Health and Biomedical Informatics, which was held in Hangzhou, China, in August 2017. In 2018 he was elected to become a fellow of the American College of Medical Informaticians and a fellow of the Alan Turing Institute.

About the talk

The talk will introduce the concept of "Learning Health Systems" and focus on the role of clinical prediction models within these systems. Building on the distinction between explanatory and predictive models (which is commonly made in statistics and epidemiology but not in computer science). Professor Peek will review the use of machine learning and statistical modelling in healthcare; discuss the role of model interpretation and transparency in explanatory and predictive models; and discuss the suitability of different analytical methods to facilitate interpretability and transparency.

Still interested? Take a look at the upcoming "Opening the black box" series.