Early prediction of mortality upon intensive care unit admission

The ADM models can provide crucial information on ICU mortality as early as upon ICU admission. 24 H models can be used to improve the prediction of ICU mortality for patients discharged more than 1 day after ICU admission.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2024-12-18
DOI
https://doi.org/10.1186/s12911-024-02807-6
Citations
9
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
3.48

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article

Early prediction of mortality upon intensive care unit admission

Lu-Cheng Kuo, Kuang-Cheng Kuo, Chong‐Jen Yu, Tai-Ju Lee et al.
9 citations
BMC Medical Informatics and Decision Making
Sepsis Diagnosis and Treatment
3.48
article

Early prediction of mortality upon intensive care unit admission

Lu-Cheng Kuo, Kuang-Cheng Kuo, Chong‐Jen Yu, Tai-Ju Lee, Feipei Lai, Anne Chao, Yu‐Chang Yeh, Ding-Shan Liu, Ming-Tao Tsai, Wing-Sum Chan, Nai‐Kuan Chou, Ching‐Tang Chiu, Shih‐Chi Ku, Yiwei Cheng, Yu‐Ting Kuo
article en
9 citations

Abstract

The ADM models can provide crucial information on ICU mortality as early as upon ICU admission. 24 H models can be used to improve the prediction of ICU mortality for patients discharged more than 1 day after ICU admission.

BMC Medical Informatics and Decision MakingVol. 24(1)
National Taiwan University (TW), Far Eastern Memorial Hospital (TW), National Taiwan University Hospital (TW)
Ministry of Science and Technology, Taiwan, National Taiwan University Hospital, National Taiwan University
Good health and well-being
Openalex Percentile: Top 6%
Sepsis Diagnosis and Treatment
3.48
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Early prediction of mortality upon intensive care unit admission — Lu-Cheng Kuo, Kuang-Cheng Kuo, et al. · BMC Medical Informatics and Decision Making (2024) | TGRS Research Map | TGRS