03391nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050000900172072001600181072002300197072001500220245012700235250001800362264007200380300006500452336002600517337002600543338003600569347002400605490006200629505085300691520066001544650003902204650002902243650003202272650003102304650003902335650002902374650002402403650003102427700008602458710003402544773002602578776003602604776003602640776003602676830006902712856004602781912001402827912001502841999001702856978-981-97-5624-7DE-He21320251030113114.0cr nn 008mamaa240828s2024    si |    s    |||| 0|eng d  a97898197562479978-981-97-5624-77 a10.1007/978-981-97-5624-72doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aIoT and ML for Information Management: A Smart Healthcare Perspectiveh[electronic resource] /cedited by Suyel Namasudra.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXII, 355 p. 95 illus., 79 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aStudies in Computational Intelligence,x1860-9503 ;v11690 aIntroduction to Internet of Things -- Introduction to Machine Learning -- IoT and Machine Learning in Smart Healthcare -- Security, Privacy, and Trust Management of IoT and Machine Learning-based Smart Healthcare System -- Machine Learning for Smart Healthcare Management Using IoT -- e-Healthcare Data Management Using Machine Learning and IoT -- Machine Learning and IoT in Precision Healthcare -- Machine Learning and IoT in Health 4.0 -- Smart Healthcare System by Using IoT and Machine Learning -- Predicting and Diagnosis of COVID-19 based on IoT and Machine Learning Algorithm -- Novel Scheme for Managing e-Healthcare Data Using IoT and Cloud Computing -- Lightweight Machine Learning-based Authentication Model for Smart Healthcare System -- Research Challenges and Future Work Directions inSmart Healthcare using IoT and Machine Learning.  aThis book discusses the roles of the Internet of Things (IoT) and machine learning (ML) in smart health care, including the integration of cloud computing with IoT and ML for managing healthcare data. It presents the fundamentals and many applications of IoT and ML in different areas of smart health care. It deliberates upon security and privacy issues, including trust concerns about smart healthcare systems based on IoT and ML algorithms. This book is concluded by discussing challenges and future work directions in smart health care using IoT and ML, and it serves as a reference resource for researchers and practitioners in academia and industry. 0aComputational intelligence.964052 0aMachine learning.955059 0aMedical informatics.960693 0aInternet of things.95884514aComputational Intelligence.96405224aMachine Learning.95505924aHealth Informatics.24aInternet of Things.9588451 aNamasudra, Suyel.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9670772 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981975623008iPrinted edition:z978981975625408iPrinted edition:z9789819756261 0aStudies in Computational Intelligence,x1860-9503 ;v116996885440uhttps://doi.org/10.1007/978-981-97-5624-7  aZDB-2-INR  aZDB-2-SXIT  c63827d63827