000			03368nam a22004215i 4500
999			_c102251 _d102251
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005			20230102113032.0
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007			cr nn 008mamaa
008			180420s2018 gw | s |||| 0|eng d
020			_a9783319779119
024	7		_a10.1007/978-3-319-77911-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 2018 EB
245	1	0	_aAdvanced Data Analytics in Health _cedited by Philippe J. Giabbanelli, Vijay K. Mago, Elpiniki I. Papageorgiou.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XIV, 216 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSmart Innovation, Systems and Technologies, _x2190-3018 _v93
490	0		_aEngineering (Springer-11647)
505	0		_aDimensionality Reduction for Exploratory Data Analysis in Daily Medical Research -- Navigating Complex Systems for Policymaking using Simple Software Tools -- An Agent-based Model of Healthy Eating with Applications to Hypertension -- Young Adults, Health Insurance Expansions and Hospital Services Utilization -- The Impact of Patient Incentives on Comprehensive Diabetes Care Services and Medical Expenditures -- Challenges and Cases of Genomic Data Integration Across Technologies and Biological Scales.
520	3		_aThis book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one "umbrella" the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.
988			_aEBSPRINGER_2018
650		7	_aAsistencia sanitaria _2embne _9138782 _xProceso de datos
650		7	_aDatos masivos _2embne _9495511
700	1		_aGiabbanelli, Philippe J. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMago, Vijay K. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/26483391/
700	1		_aPapageorgiou, Elpiniki I. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/311385825/
776	0	8	_iEdición impresa: _z9783319779102
776	0	8	_iEdición impresa: _z9783319779126
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-77911-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2018 _dz _ea _feng _ggw _h0