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008			230420s2023 sz | o |||| 0|eng d
020			_a9783031281136
024	7		_a10.1007/978-3-031-28113-6 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aRA971 _b2023 EB
100	1		_aOlson, David _eautor _0(orcid)0000-0002-2835-1377 _4http://id.loc.gov/vocabulary/relators/aut _9518199
245	1	0	_aData Mining and Analytics in Healthcare Management : _bApplications and Tools _cby David L. Olson, Özgür M. Araz
250			_a1st ed 2023
264	0	1	_aCham _c2023 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aInternational Series in Operations Research & Management Science _x2214-7934 ; _v341
505	0		_aChapter 1: Urgency in Healthcare Data Analytics -- Chapter 2: Analytics and Knowledge Management in Healthcare -- Chapter 3: Visualization -- Chapter 4: Association Rules -- Chapter 5: Cluster Analysis -- Chapter 6: Time Series Forecasting -- Chapter 7: Classification Models -- Chapter 8: Applications of Predictive Data Mining in Healthcare -- Chapter 9: Decision Analysis and Applications in Healthcare -- Chapter 10: Analysis of Four Medical Datasets -- Chapter 11: Multiple Criteria Decision Models in Healthcare- Chapter 12: Naïve Bayes Models in Healthcare -- Chapter 13: Summation.
520			_aThis book presents data mining methods in the field of healthcare management in a practical way. Healthcare quality and disease prevention are essential in today's world. Healthcare management faces a number of challenges, e.g. reducing patient growth through disease prevention, stopping or slowing disease progression, and reducing healthcare costs while improving quality of care. The book provides an overview of current healthcare management problems and highlights how analytics and knowledge management have been used to better cope with them. It then demonstrates how to use descriptive and predictive analytics tools to help address these challenges. In closing, it presents applications of software solutions in the context of healthcare management. Given its scope, the book will appeal to a broad readership, from researchers and students in the operations research and management field to practitioners such as data analysts and decision-makers who work in the healthcare sector.
988			_aSpringer_Business_2023
650		7	_2embne _9518198 _aServicios de salud _xAdministración
650		7	_2embne _9518201 _aData mining
700	1		_9518200 _aAraz, Özgür M. _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-28113-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE _n0
998			_b01/2024 _db _el _zSI