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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic machine learning models for predicting postoperative complications following general surgery in Bandar Abbas, Iran: a study protocol

Vahid Mehrnoush, Massood Mohammadi, Fatemeh Darsareh, Majid Vatankhah Tarbebar
5 citations
BMJ Open
Artificial Intelligence in Healthcare and Education
3.27
article

Prognostic machine learning models for predicting postoperative complications following general surgery in Bandar Abbas, Iran: a study protocol

Vahid Mehrnoush, Massood Mohammadi, Fatemeh Darsareh, Majid Vatankhah Tarbebar
article en
5 citations

Abstract

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.

BMJ OpenVol. 15(10)
Hormozgan University of Medical Sciences (IR)
Hormozgan University of Medical Sciences
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare and Education
3.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.