[1]王苏淮 李晶洁.机器学习在心血管疾病中的临床应用进展[J].心血管病学进展,2021,(2):144.[doi:10.16806/j.cnki.issn.1004-3934.2021.02.013]
 WANG Suhuai,LI Jingjie.Clinical Applications of Machine Learning in Cardiovascular Disease[J].Advances in Cardiovascular Diseases,2021,(2):144.[doi:10.16806/j.cnki.issn.1004-3934.2021.02.013]
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机器学习在心血管疾病中的临床应用进展()
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《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2021年2期
页码:
144
栏目:
综述
出版日期:
2021-02-25

文章信息/Info

Title:
Clinical Applications of Machine Learning in Cardiovascular Disease
作者:
王苏淮1 李晶洁12
( 1. 哈尔滨医科大学附属第一医院,黑龙江 哈尔滨 150000;2. 哈尔滨医科大学附属第一医院心内科,黑龙江 哈尔滨 150000)
Author(s):
WANG Suhuai1 LI Jingjie12
(1.The First Affiliated Hospital of Harbin Medical University,Harbin 150000, Heilongjiang,China; 2.Department of Cardiology,The First Hospital of Harbin Medical University, Harbin 150000,Heilongjiang,China)
关键词:
人工智能 机器学习心血管疾病
Keywords:
Artificial intelligence Machine learning Cardiovascular diseases
DOI:
10.16806/j.cnki.issn.1004-3934.2021.02.013
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。本综述阐述了机器学习在心血管疾病不同方面的临床应用,便于大家更好的理解其与现代医学的关联。
Abstract:
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

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更新日期/Last Update: 2021-06-15