Handbook of Large-Scale Distributed Computing in Smart Healthcare

This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs.

The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.

Acest volum ofera cititorilor diverse perspective si viziuni pentru cercetare de ultima generatie in domeniul asistentei medicale omniprezente. Subiectele pun accentul pe arhitecturi la scara larga si solutii de inalta performanta pentru asistenta medicala inteligenta, monitorizarea asistentei medicale utilizand tehnici de calcul pe scara larga, Internetul obiectelor (IoT) si analiza datelor mari pentru asistenta medicala, Fog Computing, sanatate mobila, minerit de date medicale pe scara larga, metode avansate de invatare automata pentru extragerea datelor senzorilor multidimensionali, a caselor inteligente si a metodelor de alocare a resurselor pentru BAN. Cartea contine capitole de inalta calitate contribuite de cercetatori internationali de varf care lucreaza in domenii, cum ar fi e-Health, computere omniprezente si constiente de context, cloud , retea, cluster si calcul de date mari.