Predicting remission after acute phase pharmacotherapy in patients with bipolar I depression: A machine learning approach with cross‐trial and cross‐drug replication
Machine learning strategies achieved cross-trial and cross-drug replication in predicting remission after 8 weeks of pharmacotherapy for BP-D. Interpretable prognoses rules required only a limited number of depressive symptoms, providing a promising foundation for developing simple quantitative decision aids that may, in the future, serve as companions to clinical judgment at the point of care.
Authors
- Jeremiah B. Joyce (ORCID: https://orcid.org/0000-0002-4367-6380)
- Arjun P. Athreya (ORCID: https://orcid.org/0000-0001-9764-1768)
- Caroline W. Grant (ORCID: https://orcid.org/0000-0001-9342-2138)
- William V. Bobo (ORCID: https://orcid.org/0000-0002-5674-3079)
- Paul E. Croarkin (ORCID: https://orcid.org/0000-0001-6843-6503)
- Jean Marrero‐Polanco (ORCID: https://orcid.org/0000-0003-2232-0788)
Institutions
- Florida State University (US)
- Mayo Clinic (US)
Publication Details
- Journal
- Bipolar Disorders
- Published
- 2024-10-03
- DOI
- https://doi.org/10.1111/bdi.13506
- Citations
- 3
- Primary Topic
- Bipolar Disorder and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- National Science Foundation