Dynamic prediction models: Learning to forget
Data on healthcare outcomes, patient populations, and new treatment options are constantly changing over time. Shouldn’t the data used to create our clinical… Read more »
David Jenkins is a Research Associate and PhD student at the University of Manchester. His work focuses on the use of real-world health data to improve healthcare quality, clinical outcomes and patient safety. His primary research interests are the application and development of clinical prediction models, mainly, dynamic prediction models.
Dr Glen Martin is a Lecturer in Health Data Science at the University of Manchester, UK. As a health data scientist, Glen undertakes research at the intersection of mathematics, statistics, data science and clinical investigation. Specifically, he uses data-driven methods on routinely collected health data, with the aim of improving healthcare quality and clinical outcomes. Additionally, he has research interests in developing statistical methodology to improve the development, validation and implementation of clinical prediction models.
Niels Peek is Professor of Health Informatics and 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. He is director of the Greater Manchester Connected Health City, which is part of the £20M "Health North" investment to establish a learning health system in the North of England. Professor Peek has co-authored more than 150 peer-reviewed, scientific publications. From 2013 to 2017 he was the President of the Society for Artificial Intelligence in Medicine. He is a member of the editorial boards of the Journal of the American Medical Informatics Association and the Artificial Intelligence in Medicine journal.
Dr Glen Martin is a Lecturer in Health Data Science at the University of Manchester, UK. As a health data scientist, Glen undertakes research at the intersection of mathematics, statistics, data science and clinical investigation. Specifically, he uses data-driven methods on routinely collected health data, with the aim of improving healthcare quality and clinical outcomes. Additionally, he has research interests in developing statistical methodology to improve the development, validation and implementation of clinical prediction models.
Niels Peek is Professor of Health Informatics and 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. He is director of the Greater Manchester Connected Health City, which is part of the £20M "Health North" investment to establish a learning health system in the North of England. Professor Peek has co-authored more than 150 peer-reviewed, scientific publications. From 2013 to 2017 he was the President of the Society for Artificial Intelligence in Medicine. He is a member of the editorial boards of the Journal of the American Medical Informatics Association and the Artificial Intelligence in Medicine journal.
Latest posts by David Jenkins, Dr Glen Martin & Niels Peek (see all)
- Dynamic prediction models: Learning to forget - 18th December 2018