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机器学习在心血管疾病中的临床应用进展 被引量:4

Clinical Applications of Machine Learning in Cardiovascular Diseases
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摘要 人工智能已从各个方面改变了人类的生活。机器学习是人工智能的子集,其从大型数据库中通过提取模式来自动获取信息,作为一种结合数据科学和统计技术的方法,已越来越多地应用于医学界,特别是心血管疾病领域。现阐述机器学习在心血管疾病不同方面的临床应用,便于大家更好地理解其与现代医学的关联。 Artificial intelligence has transformed various aspects of human life.Machine learning,which is a subset of artificial intelligence that autonomously acquires information from large databases by extracting patterns.As a method combining data science and statistical techniques,it has been increasingly applied in the medical field,especially in the field of cardiovascular diseases.This review describes the clinical application of machine learning in different aspects of cardiovascular diseases for a better understanding of its relevance to modern medicine.
作者 王苏淮 李晶洁 WANG Suhuai;LI Jingjie(The First Affiliated Hospital of Harbin Medical University,Harbin 150000,Heilongjiang,China;Department of Cardiology,The First Hospital of Harbin Medical University,Harbin 150000,Heilongjiang,China)
出处 《心血管病学进展》 CAS 2021年第2期144-147,共4页 Advances in Cardiovascular Diseases
关键词 人工智能 机器学习 心血管疾病 Artificial intelligence Machine learning Cardiovascular diseases
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