Development of a clinical prediction model for inflammatory biomarkers and enlarged basal ganglia perivascular spaces using SHAP analysis: feature selection and model interpretation

These findings demonstrate that age, hypertension and SIRI were positively correlated with high BG-EPVS burden, while MoCA score and education duration were negatively correlated. The integrated model combining MoCA and inflammatory biomarkers accurately predicts BG-EPVS burden, demonstrating their clinical value in early disease screening and dynamic monitoring.

Authors

Institutions

Publication Details

Journal
Frontiers in Neurology
Published
2026-01-02
DOI
https://doi.org/10.3389/fneur.2025.1665841
Primary Topic
Cerebrospinal fluid and hydrocephalus
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a clinical prediction model for inflammatory biomarkers and enlarged basal ganglia perivascular spaces using SHAP analysis: feature selection and model interpretation

Jiayu Lv, Xia Guo, Zhipeng Ju, Wen Yong et al.
Frontiers in Neurology
Cerebrospinal fluid and hydrocephalus
article

Development of a clinical prediction model for inflammatory biomarkers and enlarged basal ganglia perivascular spaces using SHAP analysis: feature selection and model interpretation

Jiayu Lv, Xia Guo, Zhipeng Ju, Wen Yong, Lu Wang, Wenlong Yu, Dewang Gao, Shuaiqiang Zhang, Hua Li, Lie Wu, Shangjia Ma, Zi Guo, Yiming Liu, Hao Yan
article en

Abstract

These findings demonstrate that age, hypertension and SIRI were positively correlated with high BG-EPVS burden, while MoCA score and education duration were negatively correlated. The integrated model combining MoCA and inflammatory biomarkers accurately predicts BG-EPVS burden, demonstrating their clinical value in early disease screening and dynamic monitoring.

Frontiers in NeurologyVol. 16
Baogang Group (China) (CN), Baotou Medical College (CN)
Openalex Percentile: Top 99%
Cerebrospinal fluid and hydrocephalus
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.

Development of a clinical prediction model for inflammatory biomarkers and enlarged basal ganglia perivascular spaces using SHAP analysis: feature selection and model interpretation — Jiayu Lv, Xia Guo, et al. · Frontiers in Neurology (2026) | TGRS Research Map | TGRS