Correction to: Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench. (21st March 2022)

Record Type:: Journal Article
Title:: Correction to: Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench. (21st March 2022)
Main Title:: Correction to: Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench
Authors:: Na, Jie
Zong, Nansu
Wang, Chen
Midthun, David E
Luo, Yuan
Yang, Ping
Jiang, Guoqian
Abstract:
Is Part Of:: Journal of the American Medical Informatics Association. Volume 29:Number 6(2022)
Journal:: Journal of the American Medical Informatics Association
Issue:: Volume 29:Number 6(2022)
Issue Display:: Volume 29, Issue 6 (2022)
Year:: 2022
Volume:: 29
Issue:: 6
Issue Sort Value:: 2022-0029-0006-0000
Page Start:: 1128
Page End:: 1128
Publication Date:: 2022-03-21
Subjects:: Medical informatics -- Periodicals
Information Services -- Periodicals
Medical Informatics -- Periodicals
Médecine -- Informatique -- Périodiques
Informatica
Geneeskunde
Informatique médicale
Computer network resources
Electronic journals
610.285
Journal URLs:: http://jamia.bmj.com/ ↗
http://www.jamia.org ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=76 ↗
http://www.sciencedirect.com/science/journal/10675027 ↗
http://jamia.oxfordjournals.org/ ↗
http://www.oxfordjournals.org/en/ ↗
DOI:: 10.1093/jamia/ocac032 ↗
Languages:: English
ISSNs:: 1067-5027
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 4689.025000
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Ingest File:: 21577.xml