This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficie

The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diver

Wearable health devices have been an emerging technology that enables an ambulatory acquisition of physiological signals to monitor health status over a long ti

The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaini

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare in