German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal (notice n° 1554561)

détails MARC
000 -LEADER
fixed length control field 02653cam a2200301zu 4500
003 - CONTROL NUMBER IDENTIFIER
control field FRCYB88973988
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251020123531.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251020s2021 fr | o|||||0|0|||eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781643682068
035 ## - SYSTEM CONTROL NUMBER
System control number FRCYB88973988
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaCSA
Language of cataloging en
Transcribing agency
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Beißbarth, Tim
245 01 - TITLE STATEMENT
Title German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal
Remainder of title Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF - Technol
Statement of responsibility, etc. ['Beißbarth, Tim', 'König, Jochem', 'Ose, Claudia']
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer SAGE Publications
Date of production, publication, distribution, manufacture, or copyright notice 2021
300 ## - PHYSICAL DESCRIPTION
Extent p.
336 ## - CONTENT TYPE
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type code c
Source rdamdedia
338 ## - CARRIER TYPE
Carrier type code c
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. Digitization offers great potential – especially in medicine. Cross-domain and cross-institutional linkage, big data, artificial intelligence and robotics can all help to improve research and care, but they also pose new challenges to all those involved. This book presents the joint proceedings of the GMDS (German Medical Data Sciences) and TMF (its Technology, Methodology and Infrastructure platform), held entirely online from 26 – 30 September 2021 as a result of restrictions due to the Coronavirus pandemic. This joint event addresses the opportunities and risks of using new information technologies in medicine, as well as the resulting requirements for data protection, data security and ethics. Methodological challenges associated with the preparation, evaluation and interpretation of data volumes which constantly increase in type and scope in the course of digitization are also examined in detail. The 25 papers included here are divided into 5 sections: editorials; artificial intelligence and clinical decision support systems (CDSS); data integration and interoperability; human computer interaction; and software systems and frameworks, and the topics covered are very diverse, ranging from disease detection using retinal imaging, through data management and sharing, to interactive web applications. Providing an overview of regional research and developments in the field, the book will be of interest to all those working in health technology and medical informatics; researchers and practitioners alike.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Beißbarth, Tim
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name König, Jochem
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ose, Claudia
856 40 - ELECTRONIC LOCATION AND ACCESS
Access method Cyberlibris
Uniform Resource Identifier <a href="https://international.scholarvox.com/netsen/book/88973988">https://international.scholarvox.com/netsen/book/88973988</a>
Electronic format type text/html
Host name

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