| Description |
1 online resource (1 PDF file (viii, 219 pages)) : illustrations |
|
text file PDF rda |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
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. |
| Note |
Description based on online resource; title from PDF title page (viewed January 17, 2020). |
| Contents |
Data sources -- Data at scale -- Standards in healthcare data -- Using FAIR data / data stewardship -- Privacy / identification -- 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). |
| Access |
Open access. GW5XE |
| Local Note |
SpringerLink Springer Nature Open Access eBooks |
| Subject |
Medical informatics.
|
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Data Science. https://id.nlm.nih.gov/mesh/D000077488
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Medical Informatics. https://id.nlm.nih.gov/mesh/D008490
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Precision Medicine -- methods.
https://id.nlm.nih.gov/mesh/D057285Q000379
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Data Collection. https://id.nlm.nih.gov/mesh/D003625
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Medical informatics. (OCoLC)fst01014175
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| Genre/Form |
Electronic books.
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Electronic books.
|
| Added Author |
Kubben, Pieter, editor.
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Dumontier, Michel (Professor of data science), editor.
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Dekker, A. L. A. J. (André L. A. J.), editor.
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| Other Form: |
Original 3319997122 9783319997124 (OCoLC)1045508165 |
| ISBN |
9783319997131 (eBook) |
|
3319997130 |
|
9783319997124 |
|
3319997122 |
| Standard No. |
10.1007/978-3-319-99713-1 doi |
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