心脏病学中的决策支持系统：一项系统综述
Decision Support Systems in Cardiology: A Systematic Review.
作者信息
Dudchenko Aleksey, Kopanitsa Georgy
机构信息
National Research Tomsk Polytechnic University, Tomsk, Russia.
出版信息
Stud Health Technol Inform. 2017;237:209-214.
PMID:28479570
Abstract
The aim of this work was to identify the most common approaches used in the intelligent decision support systems employed in the diagnosis of cardiovascular diseases and identify accuracy of these systems. Forty-one relevant publications were included in the review using Scopus and Web of Science. Knowledge base and fuzzy logic and ANN is the most commonly used approach to diagnosis and prediction. The accuracy of the considered systems reaches 98%.
摘要
这项工作的目的是确定用于心血管疾病诊断的智能决策支持系统中最常用的方法，并确定这些系统的准确性。使用Scopus和Web of Science对41篇相关出版物进行了综述。知识库、模糊逻辑和人工神经网络是最常用于诊断和预测的方法。所考虑系统的准确率达到98%。
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