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001			95494
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007			cr |n|||||||||
008			170302s2017 sz ob 000 0 eng d
020			_a3319514636 _q(electronic bk.)
020			_a9783319514635 _q(electronic bk.)
020			_z3319514628
020			_z9783319514628
040			_aYDX _cYDX _dNJR _dGW5XE _dUAB _dOCLCO _dYDX _dOCLCO _dOCLCF _dCOO _dIOG _dAZU _dUWO _dVT2 _dUPM _dOCLCO _dMERER _dESU _dOH1 _dZ5A _dOCLCO _dOCL _dOCLCO _dJBG _dIAD _dOCLCO _dICW _dOCLCO _dICN _dOCLCQ _dOCLCO _dOTZ _dOCLCQ _dOCLCO _dOCLCA _dU3W _dOCLCO _dES-MaUEC _bspa
050		4	_aQ342 _b.T376 2017 EB
100	1		_aTarnowska, Katarzyna A., _eautor
245	1	0	_aDecision support system for diagnosis and treatment of hearing disorders : _bthe case of tinnitus _cKatarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff.
264		1	_aCham _bSpringer _c2017.
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aStudies in computational intelligence _vvolume 685
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_aPreface -- Introduction -- Tinnitus treatment as a problem area -- Recommender solutions overview -- Knowledge discovery approach for recommendation -- RECTIN system design -- Experiment 1: classifiers -- Experiment 2: diagnostic rules -- Experiment 3: treatment rules -- Experiment 4: treatment rules enhancement -- RECTIN implementation -- Final conclusions and future work -- References.
520	3		_aThe book presents a knowledge discovery based approach to build a recommender system supporting a physician in treating tinnitus patients with the highly successful method called Tinnitus Retraining Therapy. It describes experiments on extracting novel knowledge from the historical dataset of patients treated by Dr. P. Jastreboff so that to better understand factors behind therapy's effectiveness and better personalize treatments for different profiles of patients. The book is a response for a growing demand of an advanced data analytics in the healthcare industry in order to provide better care with the data driven decision-making solutions. The potential economic benefits of applying computerized clinical decision support systems include not only improved efficiency in health care delivery (by reducing costs, improving quality of care and patient safety), but also enhancement in treatment's standardization, objectivity and availability in places of scarce expert's knowledge on this difficult to treat hearing disorder. Furthermore, described approach could be used in assessment of the clinical effectiveness of evidence-based intervention of various proposed treatments for tinnitus.
650		7	_aInteligencia artificial _2embne _0(OCoLC)fst00871995 _0 _9413115
700	1		_aJastreboff, Pawel J., _eautor
700	1		_aRaś, Zbigniew, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-51463-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017C
998			_b02/2018 _dz _e- _zSI
999			_c95494 _d95494 _x1