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Electronic Resource

Fundamentals of clinical data science

Tempat Terbit Cham, Switzerland
Penerbit Springer Open
Tahun Terbit 2019

EB03490K610.285 FUN fTersedia
Judul Seri
-
No. Panggil
610.285 FUN f
Penerbit
Cham, Switzerland : Springer Open.,
Deskripsi Fisik
viii, 219p. : ill.
Bahasa
English
ISBN/ISSN
9783319997131
Klasifikasi
610.285
Tipe Isi
text
Tipe Media
computer
Tipe Pembawa
online resource
Edisi
-
Subjek
Info Detail Spesifik
-
Pernyataan Tanggungjawab

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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