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003			ES-MaUEC
005			20230102122130.0
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007			cr nn 008mamaa
008			201028s2021 sz | o |||| 0|eng d
020			_a9783030539931
024	7		_a10.1007/978-3-030-53993-1 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aR859.7.A78 _b2021 EB
245	0	0	_aInteractive Process Mining in Healthcare _cedited by Carlos Fernandez-Llatas
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XIV, 306 páginas) _b130 ilustraciones, 92 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aHealth Informatics _x2197-3741
505	0		_aIntroduction -- Toward an integration of Data Science and Medical Domain -- To an interactive machine learning approach -- Process Mining for Healthcare -- Interactive process Mining paradigm -- Interactive Process Mining in Practice: Interactive Key Process Indicators -- Data Quality in Process Mining, Legal Issues and Open Data Integration -- Real Success Cases -- New Challenges
520	3		_aThis book provides a practically applicable guide to the methodologies and technologies for the application of interactive process mining paradigm. Case studies are presented where this paradigm has been successfully applied in emergency medicine, surgery processes, human behavior modelling, strokes and outpatients' services, enabling the reader to develop a deep understanding of how to apply process mining technologies in healthcare to support them in inferring new knowledge from past actions, and providing accurate and personalized knowledge to improve their future clinical decision-making. Interactive Process Mining in Healthcare comprehensively covers how machine learning algorithms can be utilized to create real scientific evidence to improve daily healthcare protocols, and is a valuable resource for a variety of health professionals seeking to develop new methods to improve their clinical decision-making
988			_aSpringer_Medicine_2021
650		7	_2embne _9421371 _aInteligencia artificial en medicina
700	1		_aFernandez-Llatas, Carlos _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030539924
776	0	8	_iPrinted edition: _z9783030539948
776	0	8	_iPrinted edition: _z9783030539955
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-53993-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b10/2022 _dz _eb _zSI