Predictive accuracy of different models for VT episodes.

NIAID Data Ecosystem2026-03-10 收录

心律失常预测

预测模型准确性比较

数据链接：

https://figshare.com/articles/dataset/Predictive_accuracy_of_different_models_for_VT_episodes_/7266644 数据链接链接失效反馈

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资源简介：

Predictive accuracy of different models for VT episodes.

创建时间：

2018-10-29

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心血管病理学

心律失常预测

Additional image data supporting the manuscript: VT/VF risk in animal model of hypertensive heart disease predicted by distribution of patchy fibrosis.

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HHDFibrosisAndArrhythmogenesis_SupportingInterVariableRelationships

心血管疾病模型

心律失常预测

Additional data and methods supporting the manuscript: VT/VF risk in animal model of hypertensive heart disease predicted by distribution of patchy fibrosis.

DataCite Commons2022-08-03 更新40

Predicting arrhythmia recurrence post-ablation in atrial fibrillation using explainable machine learning: Code repository

心律失常预测

可解释机器学习

Background: Following atrial fibrillation ablation, it is challenging to distinguish patients who will remain arrhythmia-free from those at risk for recurrence. New explainable machine learning (xML)

DataONE2025-07-15 更新30

Predictive accuracy of different models for VT episodes.

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