Early prognosis prediction for non-variceal upper gastrointestinal bleeding in the intensive care unit: based on interpretable machine learning

Patient data from the MIMIC database were leveraged to develop a robust prognostic model for patients with NVUGIB in the ICU. The analysis using SHAP also assisted clinicians in gaining a deeper understanding of the disease.

Authors

Institutions

Publication Details

Journal
European journal of medical research
Published
2024-08-31
DOI
https://doi.org/10.1186/s40001-024-02005-0
Citations
6
Primary Topic
Gastrointestinal Bleeding Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Early prognosis prediction for non-variceal upper gastrointestinal bleeding in the intensive care unit: based on interpretable machine learning

Yuguo Song, Xiya Wang, Xiaoxu Zhao, Kunlong Qu et al.
6 citations
European journal of medical research
Gastrointestinal Bleeding Diagnosis and Treatment
2.78
article

Early prognosis prediction for non-variceal upper gastrointestinal bleeding in the intensive care unit: based on interpretable machine learning

Yuguo Song, Xiya Wang, Xiaoxu Zhao, Kunlong Qu, Yujie Pan, Shuxing Wei, Guanghao Yan
article en
6 citations

Abstract

Patient data from the MIMIC database were leveraged to develop a robust prognostic model for patients with NVUGIB in the ICU. The analysis using SHAP also assisted clinicians in gaining a deeper understanding of the disease.

European journal of medical researchVol. 29(1)
Capital Medical University (CN), Beijing Chao-Yang Hospital, Capital Medical University (CN)
Zero hunger
Openalex Percentile: Top 9%
Gastrointestinal Bleeding Diagnosis and Treatment
2.78
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.

Early prognosis prediction for non-variceal upper gastrointestinal bleeding in the intensive care unit: based on interpretable machine learning — Yuguo Song, Xiya Wang, et al. · European journal of medical research (2024) | TGRS Research Map | TGRS