000			03889cam a22005538i 4500
001			9781003045564
003			FlBoTFG
005			20220724194351.0
006			m d u
007			cr |||||||||||
008			201016s2021 flu ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9781003045564 _q(ebook)
020			_a1003045561
020			_a9781000067675 _q(electronic bk. : EPUB)
020			_a100006767X _q(electronic bk. : EPUB)
020			_a9781000067651 _q(electronic bk. : Mobipocket)
020			_a1000067653 _q(electronic bk. : Mobipocket)
020			_a9781000067637 _q(electronic bk. : PDF)
020			_a1000067637 _q(electronic bk. : PDF)
020			_z9781771889209 _q(hardcover)
035			_a(OCoLC)1201696364
035			_a(OCoLC-P)1201696364
050	0	0	_aR859.7.A78
072		7	_aCOM _x004000 _2bisacsh
072		7	_aTEC _x059000 _2bisacsh
072		7	_aUB _2bicssc
082	0	0	_a610.28 _223
245	0	0	_aHandbook of artificial intelligence in biomedical engineering / _ceditied by Saravanan Krishnan, PhD, Ramesh Kesavan, B. Surendiran, PhD, G.S. Mahalakshmi, PhD.
250			_aFirst edition.
264		1	_aPalm Bay, FL : _bApple Academic Press, _c2021.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bn _2rdamedia
338			_aonline resource _bnc _2rdacarrier
490	0		_aBiomedical engineering: techniques and applications book series
520			_a"Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts. Topics include: Security and privacy issues in biomedical AI systems and potential solutions Healthcare applications using biomedical AI systems Machine learning in biomedical engineering Live patient monitoring systems Semantic annotation of healthcare data This book presents a broad exploration of biomedical systems using artificial intelligence techniques with detailed coverage of the applications, techniques, algorithms, platforms, and tools in biomedical AI systems. This book will benefit researchers, medical and industry practitioners, academicians, and students"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aArtificial intelligence _xMedical applications.
650		0	_aBiomedical engineering.
650		7	_aCOMPUTERS / Artificial Intelligence _2bisacsh
700	1		_aSaravanan, Krishnan, _d1982- _eeditor.
700	1		_aKesavan, Ramesh, _eeditor.
700	1		_aSurendiran, B., _eeditor.
700	1		_aMahalakshmi, G. S., _eeditor.
856	4	0	_3Read Online _uhttps://www.taylorfrancis.com/books/9781003045564
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_2lcc _cEBK
999			_c16775 _d16775