Academic Press Edge-of-Things in Personalized Healthcare Support Systems (Cognitive Data Science in Sustainable Computing)

Product Description Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage, sharing healthcare records of individuals in a secure manner that is globally distributed to incorporate best health care practices. The book provides a collection of research results that cover expertise in healthcare professionals, sharing of records over the cloud, access controls, rights of the shared document, privacy of the document, and edge computing techniques to identify the cause(s) of disease(s). The book advances personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics. As medical records need to be shared with only a select few, new technologies must address clinician expertise and access to medical records in all media formats while also addressing privacy, security and access policies. Review Discusses current trends of IoT and Cloud/Edge technologies in the healthcare domain From the Back Cover <p>To realize the goals of healthcare professionals and exploit doctors' talents across the globe, it becomes necessary to use their expertise. The expertise can be utilized by requesting a primary or second opinion for a particular ailment. Request doctors for opinions, medical records, such as ECG, EEG, MRI Scans; reports need to be shared with doctors. As these records require privacy and confidentiality, care must be taken before sharing with doctors. The records also need to be shared with read-only on and with doctors who possess a particular specialization. This necessitates technology involvement in identifying doctors' expertise and sharing medical records in all media formats with privacy, security, and access policies.</p> <p><i>Edge-of-Things in Personalized Healthcare Support Systems</i> discusses and explores state-of-the-art technology developments in storage, sharing healthcare records of individuals in a secure manner that is globally distributed to incorporate best health care practices.</p> <p>The book provides a collection of research results that covers identification of expertise in healthcare professionals, sharing of records over the cloud, access controls and rights of the shared document, the privacy of the document, edge computing techniques to identify the cause(s) of disease(s), prescriptive analytics of the same. The book advances personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics.</p> About the Author Rajeswari Sridhar is currently working as an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Tiruchirappalli, India. Her research interests include Cloud computing, Natural language processing, Information Retrieval, etc. She has guided 2 PhD students in the areas of Resource provisioning in Cloud computing and Access policies for data sharing through the cloud. She is currently guiding 5 research scholars in similar areas. She has published 70 articles in reputed journals and conferences. She is a member of the IEEE, ACM and CSI. G R Gangadharan is working as an Associate Professor in the National Institute of Technology, Tiruchirappalli, India. His research interests are mainly located on the interface between technological and business perspectives. He has published around 95 publications in the reputed international journals, conferences, and book chapters. He has also edited two books. He has received Ph.D. degree in Information and Communication Technology (2008) from the University of Trento, Trento, Italy and European University Association and an M.S. in Information Technology (2004) from Scuola Superiore Sant’Anna, Pisa, Italy. He is a Senior Member of IEEE and ACM. Michael Sheng is a full Professor and Head of Department of