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008			141122s2015 xxu| o |||| 0|eng d
020			_a9781493919857
024	7		_a10.1007/978-1-4939-1985-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .D343 _b2015 EB
245	0	0	_aData Mining in Clinical Medicine _cedited by Carlos Fernández-Llatas, Juan Miguel García-Gómez
250			_a1st edition 2015
264		1	_aNew York, NY _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XII, 270 páginas) _b92 ilustraciones, 82 ilustraciones a color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v1246
505	0		_aActigraphy Pattern Analysis For Outpatient Monitoring -- Definition of Loss Functions for Learning from Imbalanced Data to Minimize Evaluation Metrics -- Audit Method Suited for DSS in Clinical Environment -- Incremental Logistic Regression for Customizing Automatic Diagnostic Models -- Using Process Mining for Automatic Support of clinical Pathways Design -- Analyzing Complex Patients' Temporal Histories: New Frontiers in Temporal Data Mining -- The Snow System - A Decentralized Medical Data Processing System -- Data Mining for Pulsing the Emotion on the Web -- Introduction on Health Recommender Systems -- Cloud Computing for Context-Aware Enhanced m-Health Services -- Analysis of Speech-based Measures for Detecting and Monitoring Alzheimer's Disease -- Applying Data Mining for the Analysis of Breast Cancer Data -- Mining Data When Technology Is Applied To Support Patients and Professional On The Control Of Chronic Diseases: The Experience Of The METABO Platform For Diabetes Management -- Data Analysis In Cardiac Arrhythmias -- Knowledge-Based Personal Health System to Empower Outpatients of Diabetes Mellitus by means of P4 Medicine -- Serious Games For Elderly Continuous Monitoring.
520			_aThis volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written in the highly successful Methods in Molecular Biology series format, chapters are thought to show to Medical Doctors and Engineers the new trends and techniques that are being applied to Clinical Medicine with the arrival of new Information and Communication technologies Authoritative and practical, Data Mining in Clinical Medicine seeks to aid scientists with  new approaches and trends in the field.
988			_aSpringer_Protocols_2015
650		7	_2embne _9162648 _aData mining
650		7	_2embne _9421371 _aInteligencia artificial en medicina
776	0	8	_iPrinted edition: _z9781493919864
776	0	8	_iPrinted edition: _z9781493919840
776	0	8	_iPrinted edition: _z9781493954742
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-1985-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2023 _dz _eb _zSI