A new score for predicting intracranial hemorrhage in patients using anticoagulant drugs

Predictive models based on a patient's medical record hospitalization system can be used to identify patients at risk for cerebral hemorrhage. Identifying people at risk can provide proactive interventions for patients.

Authors

Institutions

Publication Details

Journal
Frontiers in Neurology
Published
2025-01-22
DOI
https://doi.org/10.3389/fneur.2025.1475956
Citations
1
Primary Topic
Intracerebral and Subarachnoid Hemorrhage Research
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A new score for predicting intracranial hemorrhage in patients using anticoagulant drugs

Chengfu Guan, Fuxin Ma, Zhiwei Zeng, Jiana Chen et al.
1 citations
Frontiers in Neurology
Intracerebral and Subarachnoid Hemorrhage Research
1.39
article

A new score for predicting intracranial hemorrhage in patients using anticoagulant drugs

Chengfu Guan, Fuxin Ma, Zhiwei Zeng, Jiana Chen, Chunhua Wang, Jinhua Zhang, Wenlin Xu
article en
1 citations

Abstract

Predictive models based on a patient's medical record hospitalization system can be used to identify patients at risk for cerebral hemorrhage. Identifying people at risk can provide proactive interventions for patients.

Frontiers in NeurologyVol. 16
Fujian Medical University (CN), Union Hospital (CN)
Reduced inequalities
Openalex Percentile: Top 24%
Intracerebral and Subarachnoid Hemorrhage Research
1.39
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.