000			01973 a2200205 4500
005			20250324152210.0
020			_a9781032653297
082			_a610.285 HAS
100			_aHassanien, Aboul Ella
245			_aMedical Big Data and Internet of Medical Things: Advances, Challenges and Applications
260			_bCRC Press _c2019 _aNew York
300			_a339
520			_aBig data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems
650			_aMedicine and Health
650			_aTechnology
650			_aMedical Things
700			_aDey, Nilanjan
700			_aBorra, Surekha
942			_cBK _2ddc
999			_c49824 _d49824