Machine learning-driven predictive model for 28-day mortality risk in patients with diabetic retinopathy complicated with sepsis: dual-database validation in MIMIC-IV and eICU-CRD

Authors

Institutions

Publication Details

Journal
BMC Endocrine Disorders
Published
2026-10-26
DOI
https://doi.org/10.1186/s12902-026-02651-x
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine learning-driven predictive model for 28-day mortality risk in patients with diabetic retinopathy complicated with sepsis: dual-database validation in MIMIC-IV and eICU-CRD

Yu Gu, Yuxiao Yang, Qiuying Yang, Taiyu Chen et al.
BMC Endocrine Disorders
Sepsis Diagnosis and Treatment
article

Machine learning-driven predictive model for 28-day mortality risk in patients with diabetic retinopathy complicated with sepsis: dual-database validation in MIMIC-IV and eICU-CRD

Yu Gu, Yuxiao Yang, Qiuying Yang, Taiyu Chen, Heling Wang
article en

Abstract

No abstract available for this paper.
BMC Endocrine Disorders
Capital Medical University (CN)
Openalex Percentile: Top 12%
Sepsis Diagnosis and Treatment
DOIOpen Access PDFOpenAlex
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.

Laika access coming soon
Machine learning-driven predictive model for 28-day mortality risk in patients with diabetic retinopathy complicated with sepsis: dual-database validation in MIMIC-IV and eICU-CRD — Yu Gu, Yuxiao Yang, et al. · BMC Endocrine Disorders (2026) | TGRS Research Map | TGRS