慢性阻塞性肺病
肺病
信息化
大数据
医学
决策支持系统
数字化
疾病
重症监护医学
临床决策支持系统
计算机科学
人工智能
数据挖掘
病理
内科学
电信
计算机视觉
作者
Xinshan Lin,Yi Lei,Jun Chen,Zhihui Xing,Ting Yang,Qing Wang,Chen Wang
出处
期刊:Tsinghua Science & Technology
[Tsinghua University Press]
日期:2022-12-13
卷期号:28 (3): 525-540
被引量:5
标识
DOI:10.26599/tst.2022.9010010
摘要
Chronic obstructive pulmonary disease (COPD) is a serious chronic respiratory disease. Improving the ability to identify patients with COPD in primary medical institutions is important to prevent and treat the disease. With the continuous development of medical digitization, the application of big data informatization in the medical and health fields has become possible. Recently, applying innovative technologies such as big data analysis, machine learning, and artificial intelligence-assisted decision-making in the medical field has become an interdisciplinary research hotspot. Based on the identification and diagnosis of COPD in the high-risk population, this study proposes a convenient and effective clinical decision support system to help identify patients with COPD in primary health institutions. The results of the preliminary experiments show that the proposed method is convenient and effective compared with the existing methods.
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