Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge

This work was supported by the Korea Health Technology Research & Development Project through the Korea Health Industry Development Institute, funded by the Ministry of Health and Welfare, Republic of Korea (grant number RS-2021-KH114109).

Authors

Institutions

Publication Details

Journal
EClinicalMedicine
Published
2025-02-13
DOI
https://doi.org/10.1016/j.eclinm.2025.103112
Citations
13
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
32.25

Funders

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

Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge

Dongjoon Yoo, Min Ja Kim, Hyung‐Chul Lee, K. Cho et al.
13 citations
EClinicalMedicine
Machine Learning in Healthcare
32.25
article

Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge

Dongjoon Yoo, Min Ja Kim, Hyung‐Chul Lee, K. Cho, Leerang Lim, Ho Geol Ryu, Dayeon Sim
article en
13 citations

Abstract

This work was supported by the Korea Health Technology Research & Development Project through the Korea Health Industry Development Institute, funded by the Ministry of Health and Welfare, Republic of Korea (grant number RS-2021-KH114109).

EClinicalMedicineVol. 81
Gachon University (KR), Inha University (KR), Seoul National University Hospital (KR), Sungkyunkwan University (KR)
Ministry of Health and Welfare, Korea Health Industry Development Institute
Openalex Percentile: Top 0%
Machine Learning in Healthcare
32.25
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.