000 | 04105cam a22005658i 4500 | ||
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001 | 9781003217107 | ||
003 | FlBoTFG | ||
005 | 20240213122826.0 | ||
006 | m o d | ||
007 | cr ||||||||||| | ||
008 | 220214s2022 flu ob 001 0 eng | ||
040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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020 |
_a9781003217107 _q(ebook) |
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020 | _a1003217109 | ||
020 |
_a9781000630480 _q(electronic bk. : PDF) |
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020 |
_a100063048X _q(electronic bk. : PDF) |
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020 |
_a9781000630510 _q(electronic bk. : EPUB) |
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020 |
_a100063051X _q(electronic bk. : EPUB) |
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020 |
_z9781032108001 _q(hardback) |
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020 |
_z9781032108018 _q(paperback) |
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024 | 7 |
_a10.1201/9781003217107 _2doi |
|
035 | _a(OCoLC)1331740040 | ||
035 | _a(OCoLC-P)1331740040 | ||
050 | 0 | 0 | _aR855.3 |
072 | 7 |
_aTEC _x020000 _2bisacsh |
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072 | 7 |
_aTEC _x016020 _2bisacsh |
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072 | 7 |
_aTJF _2bicssc |
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082 | 0 | 0 |
_a610.285 _223/eng/20220622 |
245 | 0 | 0 |
_aDesigning intelligent healthcare systems, products, and services using disruptive technologies and health informatics / _cedited by Teena Bagga, Kamal Upreti, Nishant Kumar, Amirul Hasan Ansari, and Danish Nadeem. |
250 | _aFirst edition. | ||
264 | 1 |
_aBoca Raton : _bCRC Press, _c2022. |
|
300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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505 | 0 | _aTelemedicine (e-Health, m-Health): Requirements, Challenges and Applications -- Future Risk Analysis In Public Sector During Covid-19 Period 2020 To March 2021 -- Role of Advanced Technologies in Gait Analysis and its importance in Healthcare -- Emerging disruptive technologies and their impact on health informatics -- Scaling Up Telemedicine Systems In India : Moving Toward Intelligent Healthcare Via Disruptions -- A Wearable ECG Sensor for Intelligent Cardiovascular Health Informatics -- Recent Trends in Wearable Technologies, Challenges and Opportunities -- Intelligent Depression Detection System using Effective Hyper-Scanning Techniques -- Design of an Intelligent System for Diabetes Prediction by Integrating Rough Set Theory and Genetic Algorithm -- Blockchain for Healthcare Sector : Application and Challenges -- Blockchain Enabled Secured Medical Supply Chain Management -- Big Data in Healthcare, Technological Implications and Challenges -- An Efficient System for Predictive Analysis on Brain Cancer using Machine Learning and Deep Learning Techniques -- A Review Study on Different Machine Learning Algorithms used for Covid Outbreak Prediction -- Designing of a Rough-PSO based Covid-19 prediction Model -- Transitions in Machine Learning Approaches for Healthcare Sector Applications. | |
520 |
_a"This book offers both theoretical and practical application-based chapters on Computational Intelligence, IoT, Blockchain, Cloud, and Big Data Analytics and presents novel technical studies on designing intelligent healthcare systems, product, and services. It offers conceptual and visionary works comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and monitoring of physiological data. The book will also provide metaheuristic computational intelligent based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies"-- _cProvided by publisher. |
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588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 0 |
_aArtificial intelligence _xMedical applications. |
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650 | 0 | _aMedical informatics. | |
650 | 7 |
_aTECHNOLOGY / Manufacturing _2bisacsh |
|
650 | 7 |
_aTECHNOLOGY / Industrial Design / Product _2bisacsh |
|
700 | 1 |
_aBagga, Teena, _eeditor. |
|
700 | 1 |
_aUpreti, Kamal, _eeditor. |
|
700 | 1 |
_aKumar, Nishant _c(Of Amity University), _eeditor. |
|
700 | 1 |
_aAnsari, Amirul Hasan, _eeditor. |
|
700 | 1 |
_aNadeem, Danish, _eeditor. |
|
856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003217107 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
999 |
_c5077 _d5077 |