03561 am 22006493u 450 991033752030332120230125202600.03-319-99713-010.1007/978-3-319-99713-1(CKB)4100000007279067(DE-He213)978-3-319-99713-1(MiAaPQ)EBC5625481(Au-PeEL)EBL5625481(CaPaEBR)ebr11642142(OCoLC)1108515312(oapen)https://directory.doabooks.org/handle/20.500.12854/28232(PPN)232966494(EXLCZ)99410000000727906720181221d2019 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierFundamentals of Clinical Data Science[electronic resource] /edited by Pieter Kubben, Michel Dumontier, Andre Dekker1st ed. 2019.ChamSpringer Nature2019Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (VIII, 219 p. 45 illus., 35 illus. in color.)3-319-99712-2 Data 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).This 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.Health informaticsBioinformaticsData ScienceMedical InformaticsPrecision MedicinemethodsMedicineHealth informaticsBioinformaticsHealth informatics.Bioinformatics.Data Science.Medical Informatics.Precision Medicinemethods.502.85Kubben Pieteredt1355554Kubben Pieteredthttp://id.loc.gov/vocabulary/relators/edtDumontier Micheledthttp://id.loc.gov/vocabulary/relators/edtDekker Andreedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910337520303321Fundamentals of Clinical Data Science3359684UNINA