Validation of self‑harm prediction models among formerly incarcerated individuals using health data
Hsueh-Han Yeh, Sheryl Kubiak, Erin Comartin, Zachary Farrell, Yong Hu, Philip Huynh, Diane Wisnieski, Bethany Hedden-Clayton, Athena Kheibari, Grant Victor, Jennifer E Johnson, Lauren M Weinstock, Greg E Simon, Brian K Ahmedani · 2026
Read Validation of self‑harm prediction models among formerly incarcerated individuals using health data by Hsueh-Han Yeh, Sheryl Kubiak, Erin Comartin, Zachary Farrell, Yong Hu, Philip Huynh, Diane Wisnieski, Bethany Hedden-Clayton, Athena Kheibari, Grant Victor, Jennifer E Johnson, Lauren M Weinstock, Greg E Simon, Brian K Ahmedani (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13540853.txt.
Description
Hsueh-Han Yeh leads a 2026 validation study asking whether a self-harm prediction model built from health records can spot risk among people recently held in jail. After release, people die by their own hand at roughly nine times the rate seen in the wider public, while brief questionnaires in custody are patchy and blunt.
Records covered 4,154 Medicaid-enrolled people incarcerated in Michigan jails. The existing Mental Health Research Network model sorted risk well, catching about two thirds of later self-harm while correctly clearing most low-risk people. Its negative predictions were right ninety-nine percent of the time. Performance improved further for short jail stays. The authors support records-based screening as a scalable aid to prevention.
Catalog record
| CREATOR | Hsueh-Han Yeh, Sheryl Kubiak, Erin Comartin, Zachary Farrell, Yong Hu, Philip Huynh, Diane Wisnieski, Bethany Hedden-Clayton, Athena Kheibari, Grant Victor, Jennifer E Johnson, Lauren M Weinstock, Greg E Simon, Brian K Ahmedani |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 25830 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |