Titlebook: Enhanced Telemedicine and e-Health; Advanced IoT Enabled Gon?alo Marques,Akash Kumar Bhoi,Begonya Garcia-Za Book 2021 The Editor(s) (if app

insurrection

defray

Artificial Intelligence and Machine Learning for Health Risks Predictionare solutions. This chapter explores how applications of machine learning in the healthcare sector have sought progress, and extricate the challenges with respect to early prediction of chronic illnesses. The review of past work in this fast-growing research and development area, as well as the stat

MONY

musicologist

Disease Prediction Using Artificial Intelligence: A Case Study on Epileptic Seizure Predictionc solution for understanding require being competent as well. Biomedical data related to different diseases are recorded from a body, which can be at the organ level, cell level or molecular level. Biomedical data is mainly utilized to predict, diagnose or identify particular physiological or pathol

VOC

A Novel Wrapper-Based Feature Selection for Heart Failure Prediction Using an Adaptive Particle Swaro meet the needs of the body. This means that the heart is overworked and unable to respond to the speed and demands of other activities. This will lead to fatigue and shortness of breath while performing daily activities. In this research, the authors apply a machine learning model to predict heart

neurologist

火海

1434-9922 account the emerging requirements of enhanced telemedicine In recent years, new applications on computer-aided technologies for telemedicine have emerged. Therefore, it is essential to capture this growing research area concerning the requirements of telemedicine. This book presents the latest find

沒血色

令人悲傷

Book 2021earch area concerning the requirements of telemedicine. This book presents the latest findings on soft computing, artificial intelligence, Internet of Things and related computer-aided technologies for enhanced telemedicine and e-health. Furthermore, this volume includes comprehensive reviews descri

novelty