Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning.
第一作者:
Athanasios,Rempakos
第一单位:
Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
作者:
医学主题词
人类(Humans);冠状动脉闭塞(Coronary Occlusion);登记(Registries);男(雄)性(Male);女(雌)性(Female);治疗结果(Treatment Outcome);慢性病(Chronic Disease);老年人(Aged);中年人(Middle Aged);试验预期值(Predictive Value of Tests);结果可重复性(Reproducibility of Results);危险因素(Risk Factors);决策支持技术(Decision Support Techniques);时间因素(Time Factors)
DOI
10.1016/j.jcin.2024.04.043
PMID
38970585
发布时间
2025-03-21
- 浏览5
JACC. Cardiovascular interventions
1707-1716页
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