Using machine learning to predict future foster care admission
These results highlight the importance of SDOH factors in predicting foster care admission. They also point to the potential of machine learning for facilitating early intervention to prevent foster care admissions.
Authors
- Arpit Gupta (ORCID: https://orcid.org/0000-0002-6378-7440)
- Ari Ne’eman (ORCID: https://orcid.org/0000-0001-7687-1265)
- A. Brooks
- Kellie Hans-Green
Institutions
- University of Dayton (US)
- Harvard University (US)
- Systems Analytics (United States) (US)
Publication Details
- Journal
- Health Affairs Scholar
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1093/haschl/qxaf198
- Primary Topic
- Intergenerational Family Dynamics and Caregiving
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Health and Human Services
- National Council on Disability