This book brings together chapters on the state-of-the-art in machine learning (ML) as it applies to the development of patient-centred technologies, with a special emphasis on -big data- and mobile data. With contributions from international experts from prestigious institutions it describes cutting edge research and makes accessible, for the first time, the latest in Bayesian non-parametrics for healthcare. This is one of the key frontiers in ML, and its application to healthcare will serve as a useful tutorial guide for both ML-focused and biomedical engineers. There are very few books...
This book brings together chapters on the state-of-the-art in machine learning (ML) as it applies to the development of patient-centred technologies, ...
