Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques

Our approach produced machine learning models to classify PDWs with and without CAI and confirmed good predictive performance in PDWs.

Authors

Institutions

Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-02-13
DOI
https://doi.org/10.1186/s12911-025-02919-7
Citations
1
Primary Topic
Foot and Ankle Surgery
Type
article
Field-Weighted Citation Impact
1.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques

Jun‐hee Kim, Ui‐jae Hwang, Gyeong‐tae Gwak, Oh-Yun Kwon
1 citations
BMC Medical Informatics and Decision Making
Foot and Ankle Surgery
1.72
article

Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques

Jun‐hee Kim, Ui‐jae Hwang, Gyeong‐tae Gwak, Oh-Yun Kwon
article en
1 citations

Abstract

Our approach produced machine learning models to classify PDWs with and without CAI and confirmed good predictive performance in PDWs.

BMC Medical Informatics and Decision MakingVol. 25(1)
Yonsei University (KR)
Openalex Percentile: Top 23%
Foot and Ankle Surgery
1.72
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.