Development and Validation of Machine Learning Models for Outcome Prediction in Patients with Poor-Grade Aneurysmal Subarachnoid Hemorrhage Following Endovascular Treatment

Authors

Institutions

Publication Details

Journal
Therapeutics and Clinical Risk Management
Published
2025-03-01
DOI
https://doi.org/10.2147/tcrm.s504745
Citations
2
Primary Topic
Intracranial Aneurysms: Treatment and Complications
Type
article
Field-Weighted Citation Impact
2.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Validation of Machine Learning Models for Outcome Prediction in Patients with Poor-Grade Aneurysmal Subarachnoid Hemorrhage Following Endovascular Treatment

Yanze Wu, Lei Shu, Xingen Zhu, Minhua Ye et al.
2 citations
Therapeutics and Clinical Risk Management
Intracranial Aneurysms: Treatment and Complications
2.78
article

Development and Validation of Machine Learning Models for Outcome Prediction in Patients with Poor-Grade Aneurysmal Subarachnoid Hemorrhage Following Endovascular Treatment

Yanze Wu, Lei Shu, Xingen Zhu, Minhua Ye, Jiarong Tao, Ping Hu, Yanyan Gong, Shigang Lv, Senlin Du, Bing Xiao, Tengfeng Yan, Miaojing Wu
article en
2 citations

Abstract

No abstract available for this paper.
Therapeutics and Clinical Risk ManagementVol. Volume 21
Nanchang University (CN), Health Commission of Anhui Province (CN), Panzhihua University (CN), Second Affiliated Hospital of Nanchang University (CN), Panzhihua Central Hospital (CN)
No poverty
Openalex Percentile: Top 12%
Intracranial Aneurysms: Treatment and Complications
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.