PD34-03 MACHINE LEARNING ALGORITHMS ARE ACCURATE AND NON-INFERIOR TO HUMAN EXPERTS IN PREDICTING MEDICALLY-REFRACTORY OVERACTIVE BLADDER TREATMENT OUTCOMES. (May 2022)

Record Type:: Journal Article
Title:: PD34-03 MACHINE LEARNING ALGORITHMS ARE ACCURATE AND NON-INFERIOR TO HUMAN EXPERTS IN PREDICTING MEDICALLY-REFRACTORY OVERACTIVE BLADDER TREATMENT OUTCOMES. (May 2022)
Main Title:: PD34-03 MACHINE LEARNING ALGORITHMS ARE ACCURATE AND NON-INFERIOR TO HUMAN EXPERTS IN PREDICTING MEDICALLY-REFRACTORY OVERACTIVE BLADDER TREATMENT OUTCOMES
Authors:: Werneburg, Glenn
Werneburg, Eric
Goldman, Howard
Mullhaupt, Andrew
Vasavada, Sandip
Abstract:
Is Part Of:: Journal of urology. Volume 207(2022)Supplement 5
Journal:: Journal of urology
Issue:: Volume 207(2022)Supplement 5
Issue Display:: Volume 207, Issue 5 (2022)
Year:: 2022
Volume:: 207
Issue:: 5
Issue Sort Value:: 2022-0207-0005-0000
Page Start:: e560
Page End:
Publication Date:: 2022-05
Subjects:: Genitourinary organs -- Periodicals
Urology -- Periodicals
Urology -- Periodicals
Urologie -- Périodiques
Urologie
616.6
Journal URLs:: http://catalog.hathitrust.org/api/volumes/oclc/1754854.html ↗
http://www.jurology.com ↗
http://www.sciencedirect.com/science/journal/00225347 ↗
http://journals.lww.com/pages/default.aspx ↗
DOI:: 10.1097/JU.0000000000002585.03 ↗
Languages:: English
ISSNs:: 0022-5347
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 5071.900000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 21947.xml