Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14356/2731
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPudasaini, Mohan Kumar-
dc.contributor.authorGautam, Kamal-
dc.contributor.authorPaudel, Kiran-
dc.contributor.authorPandey, Anjila-
dc.contributor.authorBhandari, Prashamsa-
dc.contributor.authorDhakal, Manisha-
dc.contributor.authorShrestha, Roman-
dc.date.accessioned2025-10-08T06:10:22Z-
dc.date.available2025-10-08T06:10:22Z-
dc.date.issued2025-04-10-
dc.identifier.urihttps://hdl.handle.net/20.500.14356/2731-
dc.language.isoen_USen_US
dc.titleMobile based ecological momentary assessment and machine learning for predicting suicidal ideation among gay, bisexual, and other men who have sex with menen_US
dc.typePresentationen_US
Appears in Collections:Day I, 10 April 2025; Parallel session III, Hall C; Digital Health, Mental Health and Well-being (Chairs: Dr. Roshan pokhrel and Dr. Lochan Karki)

Files in This Item:
File Description SizeFormat 
2. Kamal Gautam and Mohan Pudasaini.pdfPresentation.2.08 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.