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001 978-3-319-77911-9
003 DE-He213
005 20220801215823.0
007 cr nn 008mamaa
008 180420s2018 sz | s |||| 0|eng d
020 _a9783319779119
_9978-3-319-77911-9
024 7 _a10.1007/978-3-319-77911-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAdvanced Data Analytics in Health
_h[electronic resource] /
_cedited by Philippe J. Giabbanelli, Vijay K. Mago, Elpiniki I. Papageorgiou.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIV, 216 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSmart Innovation, Systems and Technologies,
_x2190-3026 ;
_v93
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 _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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aMedical informatics.
_94729
650 0 _aQuantitative research.
_94633
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aHealth Informatics.
_931799
650 2 4 _aData Analysis and Big Data.
_946647
700 1 _aGiabbanelli, Philippe J.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_946648
700 1 _aMago, Vijay K.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_946649
700 1 _aPapageorgiou, Elpiniki I.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_946650
710 2 _aSpringerLink (Online service)
_946651
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319779102
776 0 8 _iPrinted edition:
_z9783319779126
776 0 8 _iPrinted edition:
_z9783030085711
830 0 _aSmart Innovation, Systems and Technologies,
_x2190-3026 ;
_v93
_946652
856 4 0 _uhttps://doi.org/10.1007/978-3-319-77911-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77896
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