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_a10.1007/978-3-030-82079-4 _2doi |
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_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. |
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300 |
_aX, 281 p. 1 illus. _bonline resource. |
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336 |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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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 |
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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 | ||
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