000			02963cam a2200433M 4500
001			9781003240037
003			FlBoTFG
005			20240213122827.0
006			m o d
007			cr |n|||||||||
008			220708s2022 xx o 0|| 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781000737615 _q(electronic bk.)
020			_a1000737616 _q(electronic bk.)
020			_a9781003240037 _q(electronic bk.)
020			_a1003240038 _q(electronic bk.)
020			_a9781000737660 _q(electronic bk. : EPUB)
020			_a1000737667 _q(electronic bk. : EPUB)
020			_z103214579X
020			_z9781032145792
024	7		_a10.1201/9781003240037 _2doi
035			_a(OCoLC)1334651594
035			_a(OCoLC-P)1334651594
050		4	_aR859.7.A78
072		7	_aCOM _x094000 _2bisacsh
072		7	_aUYQ _2bicssc
082	0	4	_a610.285 _223/eng/20220512
245	0	0	_aSWARM INTELLIGENCE AND MACHINE LEARNING _h[electronic resource] : _bapplications in healthcare.
260			_a[S.l.] : _bCRC PRESS, _c2022.
300			_a1 online resource
520			_aToday the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place. The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and exploreswarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aArtificial intelligence _xMedical applications.
650		0	_aSwarm intelligence.
650		0	_aMachine learning.
700	1		_aAgarwal, Shikha _c(Professor in computer science), _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003240037
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c5121 _d5121