Applications of Machine Learning in Digital Healthcare

Miguel Hernandez Silveira is the CEO and a principal consultant at Medical Frontier Technology Ltd, UK. He is also CTO of SENTI TECH LTD, UK. He held positions as visiting lecturer at the University of Surrey, UK, and a visiting researcher at Imperial College London, UK. He is also a member of the IET Healthcare Technical Profession Network Committee, and reviewer of IEEE Sensors and IEEE Biomedical Circuits and Systems Journals. His research interests include machine learning, wireless low-power healthcare systems, biomedical sensors, instruments and algorithms, and digital signal processing.Su-Shin Ang is the CEO and a principal consultant at Medical Frontier Technology Asia Pte Ltd, Singapore. He is a practising engineer, whose passion lies in the application of cutting-edge technology to the improvement of patient care. His research interests include machine learning, healthcare technology, development and deployment of medical devices, and the Internet of medical things.

• Chapter 1: IntroductionChapter 2: Health system planning and optimisation - advancements in the application of machine learning to policy decisions in global healthChapter 3: Health system preparedness - coordination and sharing of computation, models and dataChapter 4: Applications of machine learning for image-guided microsurgeryChapter 5: Electrophysiology and consciousness: a reviewChapter 6: Brain networking and early diagnosis of Alzheimer's disease with machine learningChapter 7: From classic machine learning to deep learning advances in atrial fibrillation detectionChapter 8: Dictionary learning techniques for left ventricle (LV) analysis and fibrosis detection in cardiac magnetic resonance imaging (MRI)Chapter 9: Enhancing physical performance with machine learningChapter 10: Wearable electrochemical sensors and machine learning for real-time sweat analysisChapter 11: Last words