Ebook

Fundamentals of clinical data science

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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.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

610.285 FUN f

Penerbit

Cham, Switzerland : Springer Open., 2019

Deskripsi Fisik

viii, 219p. : ill.

Bahasa

English

ISBN/ISSN

9783319997131

Klasifikasi

610.285

Tipe Isi

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Tipe Media

ebook

Tipe Pembawa

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Edisi

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Subjek

Medical informatics
Medical care--Data processing
Medical records--Management
Medicine--Information technology

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

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