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A Machine Learning Approach to Predict Poor Mental Health o..:
, In:
2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)
,
Sisodia, Aditi
;
Jammal, Manar
;
El Morr, Christo
- p. 89-92 , 2023
Link:
https://doi.org/10.1109/ACTEA58025.2023.10193963
RT T1 <cTitle>2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)</cTitle>: T1 <Title>A Machine Learning Approach to Predict Poor Mental Health of Intimate Partner Violence Survivors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10193963&Exemplar=1&LAN=DE A1 Sisodia, Aditi A1 Jammal, Manar A1 El Morr, Christo YR 2023 K1 Surveys K1 Support vector machines K1 Data centers K1 Buildings K1 Collaboration K1 Mental health K1 Predictive models K1 machine learning K1 mental health K1 violence against women K1 VAW K1 intimate partner violence K1 IPV SP 89 OP 92 LK http://dx.doi.org/https://doi.org/10.1109/ACTEA58025.2023.10193963 DO https://doi.org/10.1109/ACTEA58025.2023.10193963 SF ELIB - SuUB Bremen
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