Use of machine learning in occupational risk communication for healthcare workers: protocol for scoping review

The protocol for this review was registered in the Open Science Framework under DOI 10.17605/OSF.IO/92SK4 (available at https://osf.io/92SK4).

Authors

Institutions

Publication Details

Journal
BMJ Open
Published
2025-01-01
DOI
https://doi.org/10.1136/bmjopen-2024-088729
Citations
1
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
1.54

Funders

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

Use of machine learning in occupational risk communication for healthcare workers: protocol for scoping review

Clarice Alves Bonow, Itiberê de Oliveira Castellano Rodrigues, Gabriela Laudares Albuquerque de Oliveira, Amanda Xavier Geraldo
1 citations
BMJ Open
Occupational Health and Safety Research
1.54
article

Use of machine learning in occupational risk communication for healthcare workers: protocol for scoping review

Clarice Alves Bonow, Itiberê de Oliveira Castellano Rodrigues, Gabriela Laudares Albuquerque de Oliveira, Amanda Xavier Geraldo
article en
1 citations

Abstract

The protocol for this review was registered in the Open Science Framework under DOI 10.17605/OSF.IO/92SK4 (available at https://osf.io/92SK4).

BMJ OpenVol. 15(1)
Universidade Federal de Pelotas (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 24%
Occupational Health and Safety Research
1.54
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.