CDG-MACE score: an interpretable scoring model for risk stratification in emergency chest pain with normal ECG

The CDG-MACE Score combines dynamic ECG modeling with a SHAP-linearized scoring system to achieve discrimination with global interpretability, enabling safe exclusion of low-risk patients without typical ischemic ECG changes. External validation suggests robustness and clinical utility; additional multicenter prospective studies and fairness monitoring are warranted.

Authors

Institutions

Publication Details

Journal
Physiological Measurement
Published
2026-04-15
DOI
https://doi.org/10.1088/1361-6579/ae601a
Primary Topic
Cardiac electrophysiology and arrhythmias
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CDG-MACE score: an interpretable scoring model for risk stratification in emergency chest pain with normal ECG

Chunmiao Liang, Qinghua Sun, Rugang Liu, Cong Wang et al.
Physiological Measurement
Cardiac electrophysiology and arrhythmias
article

CDG-MACE score: an interpretable scoring model for risk stratification in emergency chest pain with normal ECG

Chunmiao Liang, Qinghua Sun, Rugang Liu, Cong Wang, Hao Zhang, Tianyuan Qi, Jiali Li, Jiaojiao Pang, Yuguo Chen
article en

Abstract

The CDG-MACE Score combines dynamic ECG modeling with a SHAP-linearized scoring system to achieve discrimination with global interpretability, enabling safe exclusion of low-risk patients without typical ischemic ECG changes. External validation suggests robustness and clinical utility; additional multicenter prospective studies and fairness monitoring are warranted.

Physiological MeasurementVol. 47(5)
University of Jinan (CN), Qilu Hospital of Shandong University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Gender equality
Openalex Percentile: Top 28%
Cardiac electrophysiology and arrhythmias
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.