000			03462cam a22005537i 4500
001			9781003265436
003			FlBoTFG
005			20240213122833.0
006			m o d
007			cr cnu---unuuu
008			230110s2023 flua ob 001 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781003265436 _q(electronic bk.)
020			_a100326543X _q(electronic bk.)
020			_a9781000830965 _q(electronic bk. : EPUB)
020			_a1000830969 _q(electronic bk. : EPUB)
020			_a9781000830903 _q(electronic bk. : PDF)
020			_a100083090X _q(electronic bk. : PDF)
020			_z9781032208305
020			_z1032208309
020			_z9781032208329
020			_z1032208325
024	7		_a10.1201/9781003265436 _2doi
035			_a(OCoLC)1357500244
035			_a(OCoLC-P)1357500244
050		4	_aR859.7.A78
072		7	_aTEC _x029000 _2bisacsh
072		7	_aCOM _x094000 _2bisacsh
072		7	_aTJF _2bicssc
082	0	4	_a610.28563 _223
245	0	0	_aMachine learning and artificial intelligence in healthcare systems : _btools and techniques / _cedited by Tawseef Ayoub Shaikh, Saqib Hakak, Tabasum Rasool, Mohammed Wasid.
264		1	_aBoca Raton : _bCRC Press, _c2023.
300			_a1 online resource (356 pages) : _billustrations (black and white, and colour).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aArtificial intelligence in smart healthcare systems
520			_aThis book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics; such paradigms can help prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underlie the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior (known as sentiment analysis for healthcare-related purposes) round out the diverse array of topics this reference book covers. Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aArtificial intelligence _xMedical applications.
650		0	_aMachine learning.
650		7	_aTECHNOLOGY / Operations Research _2bisacsh
700	1		_aShaikh, Tawseef Ayoub, _eeditor.
700	1		_aHakak, Saqib, _eeditor.
700	1		_aRasool, Tabasum, _eeditor.
700	1		_aWasid, Mohammed, _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003265436
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c6169 _d6169