000			03173nam a2200421 i 4500
999			_c112799 _d112799
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007			cr nn 008mamaa
008			181221s2019 gw a o |||| 0|eng d
020			_a9783319997131
024	7		_a10.1007/978-3-319-99713-1 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aR858 _b2019 EB
245	0	0	_aFundamentals of Clinical Data Science _cedited by Pieter Kubben, Michel Dumontier, Andre Dekker
264		1	_aCham _bSpringer International Publishing _c2019
300			_a1 recurso en línea (VIII, 219 páginas) _b45 ilustraciones, 35 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aMedicine (Springer-11650)
505	0		_aData sources -- Data at scale -- Standards in healthcare data -- Using FAIR data / data stewardship -- Privacy / deidentification -- Preparing your data -- Creating a predictive model -- Diving deeper into models -- Validation and Evaluation of reported models -- Clinical decision support systems -- Mobile app development -- Operational excellence -- Value Based Healthcare (Regulatory concerns).
520	3		_aThis open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book's promise is "no math, no code"and will explain the topics in a style that is optimized for a healthcare audience.
988			_aSpringer_Medicine_2019
650		7	_aInformática médica _2embne _9421154
650		7	_aBioinformática _2embne _9160489
700	1		_aKubben, Pieter. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDumontier, Michel. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDekker, Andre. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9783319997124
776	0	8	_iPrinted edition: _z9783319997148
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-99713-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_dz _feng _ggw _h0 _b02/2023 _eb _zSI