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020 _a9781493919857
024 7 _a10.1007/978-1-4939-1985-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-VaUE
050 _aQA76.9.D343
_b2014 EB
245 1 0 _aData Mining in Clinical Medicine
_cedited by Carlos Fernández-Llatas, Juan Miguel García-Gómez.
250 _a1st edition 2014
264 1 _aNew York, NY
_bSpringer International Publishing
_c2014
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
_9273311
_aMedicina
700 1 _aFernández-Llatas, Carlos
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGarcía-Gómez, Juan Miguel
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
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
_z(usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
998 _db