Preeti Kumari, Kartik Mahto
A Narrative Review on Different Novel Machine Learning Techniques for Detecting Pathologies in Infants From Born Baby Cries
Journal of voice : official journal of the Voice Foundation
study aimed determine relationship demographic diversity veterinary professionals regarding psychological distress suicidal experiences study also aimed determine demographic factors associated psychological distress suicidal experiences veterinary professionals study used crosssectional webbased questionnaire assess prevalence diversity psychological distress suicidality individuals 18 working veterinary field within united states study received 2482 responses resulting 2208 responses included analysis descriptive statistics performed identify categories highest rates psychological distress suicidal thoughts suicidal behaviors binomial logistic regressions conducted identify strongest statistical predictors psychological distress kessler6k6 suicidal thinking suicide behaviors 2208 respondents included analysis 888 41 experiencing serious psychological distress 381 173 considered suicide past 12 months results binomial regressions indicate gender social class age disability status strongest predictors psychological distress controlling psychological distress strongest predictors suicidal thinking sexual orientation marital status professional role limited research done explore relationship demographic diversity veterinary professionals psychological distress suicidal thoughts suicidal behaviors specifically results shed light multiple demographic factors promote attenuate mental health well importance asking respondents demographic identities veterinary medicine research research attempts identify mental health factors without collapsing categories small sample sizes cause limitation statistical power yet also demonstrates increase inclusivity research