Prognostic machine learning models for predicting postoperative complications following general surgery in Bandar Abbas, Iran: a study protocol
With approval from the Hormozgan University of Medical School Research Ethics Board (IR.HUMS.REC.1404.137), we will carry out a forward-looking analysis of the medical records of patients undergoing general surgery. We will obtain informed consent, and all information will be collected and examined anonymously. The findings of this research will be released in appropriate scientific publications.
Authors
- Vahid Mehrnoush (ORCID: https://orcid.org/0000-0002-1047-7713)
- Massood Mohammadi (ORCID: https://orcid.org/0000-0002-3017-6643)
- Fatemeh Darsareh (ORCID: https://orcid.org/0000-0003-2644-792X)
- Majid Vatankhah Tarbebar
Institutions
- Hormozgan University of Medical Sciences (IR)
Publication Details
- Journal
- BMJ Open
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1136/bmjopen-2025-108019
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.27
Funders
- Hormozgan University of Medical Sciences