MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02311nam a2200229 a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
38908 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
0000000000 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240411192909.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
201117n s 000 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2018963226 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
978-3-319-99712-4 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Fundamentals of clinical data science |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc. |
Edited by Pieter Kubben, Michel Dumontier, Andre Dekker. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cham, Switzerland : |
| Name of publisher, distributor, etc. |
SpringerOpen, |
| Date of publication, distribution, etc. |
2019. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Included bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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). |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data Science. |
| Source of heading or term |
sears |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Medical informatics. |
| Source of heading or term |
sears |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/1ToGmUNuvB2_usPyIpDLpttpKY3A43Kv0/view?usp=sharing">https://drive.google.com/file/d/1ToGmUNuvB2_usPyIpDLpttpKY3A43Kv0/view?usp=sharing</a> |
