To develop a machine learning-based model for predicting the risk of gastrointestinal bleeding in patients with spontaneous intracerebral hemorrhage

Our prediction model for GIB in sICH patients has reliable predictive power and provides a reliable tool for clinicians to identify early the high-risk group for GIB in sICH patients.

Authors

Xieli Guo (ORCID: https://orcid.org/0000-0003-1506-2813)
Mingfa Cai
Zhen Qi
Chenzhu Cai
Jiayin Wang

Institutions

Fujian Medical University (CN)
Fujian Provincial People's Hospital (CN)
Second Affiliated Hospital of Fujian Medical University (CN)

Publication Details

Journal: Frontiers in Neurology
Published: 2026-01-02
DOI: https://doi.org/10.3389/fneur.2025.1690638
Primary Topic: Intracerebral and Subarachnoid Hemorrhage Research
Type: article
Field-Weighted Citation Impact: 0.00

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article

To develop a machine learning-based model for predicting the risk of gastrointestinal bleeding in patients with spontaneous intracerebral hemorrhage

Xieli Guo, Mingfa Cai, Zhen Qi, Chenzhu Cai et al.

Jan 2, 2026

Frontiers in Neurology

Intracerebral and Subarachnoid Hemorrhage Research

article

To develop a machine learning-based model for predicting the risk of gastrointestinal bleeding in patients with spontaneous intracerebral hemorrhage

Xieli Guo, Mingfa Cai, Zhen Qi, Chenzhu Cai, Jiayin Wang

January 2, 2026article en

Abstract

Our prediction model for GIB in sICH patients has reliable predictive power and provides a reliable tool for clinicians to identify early the high-risk group for GIB in sICH patients.

Frontiers in NeurologyVol. 16

Fujian Medical University (CN), Fujian Provincial People's Hospital (CN), Second Affiliated Hospital of Fujian Medical University (CN)

Openalex Percentile: Top 99%

Intracerebral and Subarachnoid Hemorrhage Research

DOI Open Access PDF OpenAlex

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To develop a machine learning-based model for predicting the risk of gastrointestinal bleeding in patients with spontaneous intracerebral hemorrhage — Xieli Guo, Mingfa Cai, et al. · Frontiers in Neurology (2026) | TGRS Research Map | TGRS