Prediction of mortality risk in critically ill patients with systemic lupus erythematosus: a machine learning approach using the MIMIC-IV database

The machine learning model provides a superior tool for predicting mortality risk in patients with SLE, offering a basis for clinical decision-making and potential improvements in patient outcomes.

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Publication Details

Journal
Lupus Science & Medicine
Published
2025-02-01
DOI
https://doi.org/10.1136/lupus-2024-001397
Citations
1
Primary Topic
Systemic Lupus Erythematosus Research
Type
article
Field-Weighted Citation Impact
1.67

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article

Prediction of mortality risk in critically ill patients with systemic lupus erythematosus: a machine learning approach using the MIMIC-IV database

Zhihan Chen, Yunfeng Dai, Huiping Wu, Han Chen et al.
1 citations
Lupus Science & Medicine
Systemic Lupus Erythematosus Research
1.67
article

Prediction of mortality risk in critically ill patients with systemic lupus erythematosus: a machine learning approach using the MIMIC-IV database

Zhihan Chen, Yunfeng Dai, Huiping Wu, Han Chen, Yilin Chen, Zhang Li
article en
1 citations

Abstract

The machine learning model provides a superior tool for predicting mortality risk in patients with SLE, offering a basis for clinical decision-making and potential improvements in patient outcomes.

Lupus Science & MedicineVol. 12(1)
Fujian Normal University (CN), Fujian Medical University (CN), Fujian Provincial Hospital (CN), Fuzhou University (CN)
Natural Science Foundation of Fujian Province
Peace, Justice and strong institutions
Openalex Percentile: Top 20%
Systemic Lupus Erythematosus Research
1.67
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