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020 _a9783030820794
_9978-3-030-82079-4
024 7 _a10.1007/978-3-030-82079-4
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
245 1 0 _aEvolving Role of AI and IoMT in the Healthcare Market
_h[electronic resource] /
_cedited by Fadi Al-Turjman, Manoj Kumar, Thompson Stephan, Akashdeep Bhardwaj.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aX, 281 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Insights on Cognitive Neuroscience Based on Deep Neural Networks -- Robot Assisted Treatment for Children with Learning Disabilities -- Machine learning based approaches for detecting COVID-19 using clinical data in an IoMT environment -- COVID-19 Epidemic Analysis using Deep Learning Approaches -- A Cancer Diagnosis System for Detection of Lung Cancers in an IOMT Environment -- An IOMT-Based Diagnosis System for COVID-19 -- Prediction of COVID-19 Epidemic Curve of India: A Machine Learning Approach -- Internet of Medical Things (IoMT) services during COVID-19 pandemic: Roles, challenges, and applications -- Tackling Security and Privacy in Internet of Medical Things (IoMT) -- Lightweight AI-Based Security Solutions in IoMT -- Conclusion.
520 _aThis book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world. Covers the applications of artificial intelligence (AI), and Internet of Medical Things (IoMT) in the Healthcare domain; Discusses how the usage of IoT and AI helps to analyze medical data in terms of diagnosis, disease prediction, and analysis of enormous health records; Covers a variety of Medical IoT based applications that are being used in different sectors and have succeeded in providing considerable benefits to the users in critical health application.
650 0 _aTelecommunication.
650 0 _aBiomedical engineering.
650 0 _aMedical informatics.
650 0 _aApplication software.
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aBiomedical Engineering and Bioengineering.
650 2 4 _aHealth Informatics.
650 2 4 _aComputer and Information Systems Applications.
700 1 _aAl-Turjman, Fadi.
_eeditor.
_0(orcid)0000-0001-6375-4123
_1https://orcid.org/0000-0001-6375-4123
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKumar, Manoj.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aStephan, Thompson.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBhardwaj, Akashdeep.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030820787
776 0 8 _iPrinted edition:
_z9783030820800
776 0 8 _iPrinted edition:
_z9783030820817
856 4 0 _uhttps://doi.org/10.1007/978-3-030-82079-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c179181
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