عنوان

Fundamentals of clinical data science /

(Number (ISBN

3319997130

(Number (ISBN

9783319997131

Erroneous ISBN

3319997122

Erroneous ISBN

9783319997124

Title Proper

Fundamentals of clinical data science /

General Material Designation

[Book]

First Statement of Responsibility

Pieter Kubben, Michel Dumontier, Andre Dekker, editors.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

SpringerOpen,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource (1 PDF file (viii, 219 pages)) :

Other Physical Details

illustrations

Text of Note

Includes bibliographical references and index.

Text of Note

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).

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783319997131

International Standard Book Number

9783319997124

Medical informatics.

Data Collection.

Data Science.

Medical Informatics.

Precision Medicine-- methods.

Medical informatics.

MBG

MBG

MED000000

UB

Number

Edition

Class number

Book number

Class number

Dekker, A. L. A. J., (André L. A. J.)

Dumontier, Michel, (Professor of data science)

Kubben, Pieter

Date of Transaction

20200825053939.0

Cataloguing Rules (Descriptive Conventions))

rda

Electronic name

[Book]

Y