000			03231nam a2200325Ia 4500
001			344250
003			0000000000
005			20211104091611.0
008			170808t20182018nju 000 0 eng
020			_a9781118960134
040			_erda
050			_aRA 643 _b.D357 2018
245		0	_aDecision analytics and optimization in disease prevention and treatment / _cedited by Nan Kong and Shengfan Zhang.
264			_aHoboken, NJ : _bWiley, _c2018
300			_axviii, 406 pages.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_aA systematic review of the most current decision models and techniques for disease prevention and treatment Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource of the most current decision models and techniques for disease prevention and treatment. With contributions from leading experts in the field, this important resource presents information on the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology. Designed to be accessible, in each chapter the text presents one decision problem with the related methodology to showcase the vast applicability of operations research tools and techniques in advancing medical decision making. This vital resource features the most recent and effective approaches to the quickly growing field of healthcare decision analytics, which involves cost-effectiveness analysis, stochastic modeling, and computer simulation. Throughout the book, the contributors discuss clinical applications of modeling and optimization techniques to assist medical decision making within complex environments. Accessible and authoritative, Decision Analytics and Optimization in Disease Prevention and Treatment: -Presents summaries of the state-of-the-art research that has successfully utilized both decision analytics and optimization tools within healthcare operations research -Highlights the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology -Includes contributions by well-known experts from operations researchers to clinical researchers, and from data scientists to public health administrators -Offers clarification on common misunderstandings and misnomers while shedding light on new approaches in this growing area Designed for use by academics, practitioners, and researchers, Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource for accessing the power of decision analytics and optimization tools within healthcare operations research.
650			_aCommunicable Disease Control. _2sears _9127449
650			_aMedicine, Preventive. _2sears _939005
650			_aModels, Theoretical. _2sears _920851
650			_aPreventive Health Services. _2sears _944507
650			_aTherapeutics. _2sears _934907
700			_aKong, Nan, _9127450
700			_aZhang, Shengfan, _9127451
942			_cCIR
999			_c91087 _d91087