رکورد قبلیرکورد بعدی

" Fundamentals of clinical data science / "


Document Type : BL
Record Number : 893092
Title & Author : Fundamentals of clinical data science /\ Pieter Kubben, Michel Dumontier, Andre Dekker, editors.
Publication Statement : Cham, Switzerland :: SpringerOpen,, [2019]
Page. NO : 1 online resource (1 PDF file (viii, 219 pages)) :: illustrations
ISBN : 3319997130
: : 9783319997131
: 3319997122
: 9783319997124
Bibliographies/Indexes : Includes bibliographical references and index.
Contents : 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).
Abstract : 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.
Subject : Medical informatics.
Subject : Medical informatics.
Subject : Data Science.
Subject : Medical Informatics.
Subject : Data Collection.
Subject : Precision Medicine-- methods.
Dewey Classification : ‭610.285‬
LC Classification : ‭R858‬‭.F86 2019‬
NLM classification : ‭W 26.5‬
Added Entry : Dekker, A. L. A. J., (André L. A. J.)
: Dumontier, Michel, (Professor of data science)
: Kubben, Pieter
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