Optimized Risk Assessment in Forensic Practice: A Comparison of Machine Learning and Manual Scoring Approaches

Danielle J. Rieger, Ralph C. Serin, Shelley L. Brown

Open source

DOI: 10.1002/bsl.70046
Published: 2026-02-02
Container: Behavioral Sciences & the Law
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/bsl.70046,
  title = {Optimized Risk Assessment in Forensic Practice: A Comparison of Machine Learning and Manual Scoring Approaches},
  author = {Danielle J. Rieger and Ralph C. Serin and Shelley L. Brown},
  year = {2026},
  journal = {Behavioral Sciences \&amp; the Law},
  doi = {10.1002/bsl.70046},
  url = {https://doi.org/10.1002/bsl.70046}
}

RIS

TY  - JOUR
TI  - Optimized Risk Assessment in Forensic Practice: A Comparison of Machine Learning and Manual Scoring Approaches
AU  - Danielle J. Rieger
AU  - Ralph C. Serin
AU  - Shelley L. Brown
PY  - 2026
JO  - Behavioral Sciences &amp; the Law
DO  - 10.1002/bsl.70046
UR  - https://doi.org/10.1002/bsl.70046
ER  -

APA

Rieger, D. J., Serin, R. C., & Brown, S. L. (2026). Optimized Risk Assessment in Forensic Practice: A Comparison of Machine Learning and Manual Scoring Approaches. Behavioral Sciences & the Law. https://doi.org/10.1002/bsl.70046

Source records

crossref · retrieved 2026-09-25T00:27:44.908Z