IDF21-0479 A machine-learning tool to assess CV risk in T2DM patients without established CVD: The MARK-2 analysis. (April 2022)

Record Type:: Journal Article
Title:: IDF21-0479 A machine-learning tool to assess CV risk in T2DM patients without established CVD: The MARK-2 analysis. (April 2022)
Main Title:: IDF21-0479 A machine-learning tool to assess CV risk in T2DM patients without established CVD: The MARK-2 analysis
Authors:: Ghosal, S.
Sinha, B.
Abstract:
Is Part Of:: Diabetes research and clinical practice. Volume 186:Supplement 1(2022)
Journal:: Diabetes research and clinical practice
Issue:: Volume 186:Supplement 1(2022)
Issue Display:: Volume 186, Issue 1 (2022)
Year:: 2022
Volume:: 186
Issue:: 1
Issue Sort Value:: 2022-0186-0001-0000
Page Start:
Page End:
Publication Date:: 2022-04
Subjects:: Diabetes -- Periodicals
Diabetes Mellitus -- Periodicals
616.462
Journal URLs:: http://www.sciencedirect.com/science/journal/01688227 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/01688227 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/01688227 ↗
http://www.sciencedirect.com/science/journal/01688227 ↗
http://www.elsevier.com/journals ↗
DOI:: 10.1016/j.diabres.2022.109285 ↗
Languages:: English
ISSNs:: 0168-8227
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 3579.603700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 22694.xml