A Case-Finding Clinical Decision Support System to Identify Subjects with Chronic Obstructive Pulmonary Disease Based on Public Health Data  

作　　者：Xinshan Lin Yi Lei Jun Chen Zhihui Xing Ting Yang Qing Wang Chen Wang 

机构地区：[1]Department of Pulmonary and Critical Care Medicine,China-Japan Friendship Hospital,Beijing 100029,China [2]School of Software Engineering,the Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China [3]Intelligent Healthcare Unit,Baidu Inc,Beijing 100093,China [4]Department of Automation,Tsinghua University,Beijing 100084,China [5]Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100005,China

出　　处：《Tsinghua Science and Technology》2023年第3期525-540,共16页清华大学学报（自然科学版（英文版）

基　　金：This work was supported by the Major Research Program of the National Natural Science Foundation of China(No.91843302).

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.

关 键 词：artificial intelligence machine learning case finding chronic obstructive pulmonary disease(COPD) clinical decision support system(CDSS) 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]