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Clinical Applications of Artificial Intelligence in Real-World Data (Record no. 102955)

MARC details
000 -LEADER
fixed length control field 03600nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-031-36678-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240729135538.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231104s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031366789
-- 978-3-031-36678-9
072 #7 - SUBJECT CATEGORY CODE
Subject category code MBG
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MED117000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UXT
Source thema
245 10 - TITLE STATEMENT
Title Clinical Applications of Artificial Intelligence in Real-World Data
250 ## - EDITION
Edition statement 1st ed. 2023.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2023.
300 ## - PHYSICAL DESCRIPTION
Physical description VI, 285 p. 80 illus., 58 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
505 0# - CONTENTS
Contents Part 1: Data Processing, Storage, Regulations -- Biomedical Big Data: Opportunities and Challenges -- Quality Control, Data Cleaning, Imputation -- Data Security And Privacy Issues -- Data Standards and Terminology -- Biomedical Ontologies -- Graph Databases as Future Of Data Storage -- Data Integration, Harmonization -- Natural Language Processing And Text Mining- Turning Unstructured Data Into Structured -- Part 2: Analytics -- Statistical Analysis Statistical Analysis - Causality, Mendelian Randomization -- Statistical Analysis - Meta-Analysis/Reproducibility -- Machine Learning - Basic Concepts -- Machine Learning - Basic Supervised Methods -- Machine Learning - Basic Unsupervised Methods -- Machine Learning - Evaluation -- Machine Learning - Representation Learning/Feature Selection/Engineering -- Machine Learning - Interpretation -- Deep Learning - Prediction -- Deep Learning - Autoencoders -- Artificial Intelligence -- Machine Learning In Practice - Clinical Decision Support, Risk Prediction, Diagnosis -- Machine Learning In Practice - Evaluation Clinical Value, Guidelines -- Challenges Of Machine Learning and AI.
520 ## - ABSTRACT
Abstract This book is a thorough and comprehensive guide to the use of modern data science within health care. Critical to this is the use of big data and its analytical potential to obtain clinical insight into issues that would otherwise have been missed and is central to the application of artificial intelligence. It therefore has numerous uses from diagnosis to treatment. Clinical Applications of Artificial Intelligence in Real-World Data is a critical resource for anyone interested in the use and application of data science within medicine, whether that be researchers in medical data science or clinicians looking for insight into the use of these techniques.
650 #0 - SUBJECT HEADINGS
Subject term Medical informatics.
650 #0 - SUBJECT HEADINGS
Subject term Medical care.
650 #0 - SUBJECT HEADINGS
Subject term Bioinformatics.
650 #0 - SUBJECT HEADINGS
Subject term Big data.
650 14 - SUBJECT HEADINGS
Subject term Health Informatics.
9 (RLIN) 6384
650 24 - SUBJECT HEADINGS
Subject term Health Care.
9 (RLIN) 13184
650 24 - SUBJECT HEADINGS
Subject term Bioinformatics.
650 24 - SUBJECT HEADINGS
Subject term Big Data.
700 1# - ADDED PERSONAL NAME
Added personal author Asselbergs, Folkert W.
Relator term editor.
700 1# - ADDED PERSONAL NAME
Added personal author Denaxas, Spiros.
Relator term editor.
700 1# - ADDED PERSONAL NAME
Added personal author Oberski, Daniel L.
Relator term editor.
700 1# - ADDED PERSONAL NAME
Added personal author Moore, Jason H.
Relator term editor.
710 2# - ADDED CORPORATE NAME
Added corporate author SpringerLink (Online service)
856 ## - ONLINE RESOURCE
Uniform Resource Identifier <a href="#gotoholdings">#gotoholdings</a>
Link text Access resource
245 ## - TITLE STATEMENT
Medium [E-Book]
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
912 ## -
-- ZDB-2-SME
912 ## -
-- ZDB-2-SXM
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Date last seen Uniform Resource Identifier Price effective from Koha item type
        Hillingdon Hospitals Library Services (Hillingdon Hospitals NHS Foundation) Hillingdon Hospitals Library Services (Hillingdon Hospitals NHS Foundation) Online 02/05/2024 Springer Medicine_2023   02/05/2024 https://go.openathens.net/redirector/nhs?url=https://doi.org/10.1007/978-3-031-36678-9 02/05/2024 Electronic book
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