Exploring the feasibility of vital signs-based mortality risk prediction in a care facility setting

Using sparse data from an open ICU database, this study shows the feasibility of vital sign-based MRP use at care facilities, which is a big step towards the practical use of the MRP in those facilities.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251382025
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the feasibility of vital signs-based mortality risk prediction in a care facility setting

Virach Sornlertlamvanich, Wenwei Yu, Patama Gomutbutra, Somrudee Deepaisarn et al.
Digital Health
Machine Learning in Healthcare
article

Exploring the feasibility of vital signs-based mortality risk prediction in a care facility setting

Virach Sornlertlamvanich, Wenwei Yu, Patama Gomutbutra, Somrudee Deepaisarn, Waranrach Viriyavit
article en

Abstract

Using sparse data from an open ICU database, this study shows the feasibility of vital sign-based MRP use at care facilities, which is a big step towards the practical use of the MRP in those facilities.

Digital HealthVol. 11
Thammasat University (TH), Burapha University (TH), Chiba University (JP), Musashino University (JP), Chiang Mai University (TH)
Openalex Percentile: Top 84%
Machine Learning in Healthcare
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