Developing a machine learning prediction model for postpartum psychiatric admission: Findings from the born in Queensland study
Our prediction model may enable early identification and timely intervention for at-risk women during pregnancy which, in turn, may reduce the severity of postpartum mental health problems or the need for postpartum psychiatric admissions.
Authors
- Kim Betts (ORCID: https://orcid.org/0000-0001-5855-1911)
- Rosa Alati (ORCID: https://orcid.org/0000-0002-9240-3450)
- Steve R Kisely (ORCID: https://orcid.org/0000-0003-4021-2924)
- Khushi Malani
Institutions
- The University of Queensland (AU)
- Curtin University (AU)
Publication Details
- Journal
- Journal of Affective Disorders
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.jad.2025.120180
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 0.00