01144nam0 22002651i 450 UON0032724020231205104205.60020090721d1966 |0itac50 baengUS|||| 1||||ˆThe ‰Lockwood concernJohn O'HaraNew YorkNew American Library1966432 p.18 cm.001UON003278022001 Signet Books210 New YorkThe New American LibraryY3779USNew YorkUONL000050813.52Narrativa americana in lingua inglese. 1900-194521O'HARAJohnUONV186503439141The New American LibraryUONV275693650ITSOL20240220RICAUON00327240SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI NordA V A 0487 bis SI SNA148/3 7 0487 bis SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI NordA V A 0487 SI LO 13 7 0487 Lockwood concern1019722UNIOR04307nam 22006855 450 991076750700332120200702092445.03-319-49736-710.1007/978-3-319-49736-5(CKB)3710000001007876(DE-He213)978-3-319-49736-5(MiAaPQ)EBC4774782(PPN)198341423(EXLCZ)99371000000100787620170102d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierInternet of Things and Big Data Technologies for Next Generation Healthcare /edited by Chintan Bhatt, Nilanjan Dey, Amira S. Ashour1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (X, 388 p. 159 illus.) Studies in Big Data,2197-6503 ;233-319-49735-9 Includes bibliographical references at the end of each chapters.This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics.  Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.Studies in Big Data,2197-6503 ;23Computational intelligenceArtificial intelligenceMedical informaticsBiomedical engineeringMedicinePracticeComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/H28009Biomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XPractice and Hospital Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/H68000Computational intelligence.Artificial intelligence.Medical informatics.Biomedical engineering.MedicinePractice.Computational Intelligence.Artificial Intelligence.Health Informatics.Biomedical Engineering and Bioengineering.Practice and Hospital Management.004.6780151932Bhatt Chintanedthttp://id.loc.gov/vocabulary/relators/edtDey Nilanjanedthttp://id.loc.gov/vocabulary/relators/edtAshour Amira Sedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910767507003321Internet of Things and Big Data Technologies for Next Generation Healthcare3655921UNINA