Prediction of intensive care unit admission using machine learning in patients with odontogenic infection

This study provides unprecedented data on the use of ML for successful prediction of ICU admission based on initial examination results. These findings will considerably contribute to the development of the field of dentistry, especially oral and maxillofacial surgery.

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Publication Details

Journal
Journal of the Korean Association of Oral and Maxillofacial Surgeons
Published
2024-08-30
DOI
https://doi.org/10.5125/jkaoms.2024.50.4.216
Citations
2
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.81
Controls
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article

Prediction of intensive care unit admission using machine learning in patients with odontogenic infection

Jooha Yoon, Sung-Min Park
2 citations
Journal of the Korean Association of Oral and Maxillofacial Surgeons
COVID-19 diagnosis using AI
0.81
article

Prediction of intensive care unit admission using machine learning in patients with odontogenic infection

Jooha Yoon, Sung-Min Park
article en
2 citations

Abstract

This study provides unprecedented data on the use of ML for successful prediction of ICU admission based on initial examination results. These findings will considerably contribute to the development of the field of dentistry, especially oral and maxillofacial surgery.

Journal of the Korean Association of Oral and Maxillofacial SurgeonsVol. 50(4)
Dankook University (KR)
Openalex Percentile: Top 26%
COVID-19 diagnosis using AI
0.81
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