Classification Characteristics of COPD Based on Combination of Disease and Syndrome in Real World

慢性阻塞性肺病 医学 疾病 表型 病历 内科学 星团(航天器) 肺病 计算机科学 基因 生物 生物化学 程序设计语言
作者
Ning Xu,Kunyu Zhong,Kai Chang,Lifeng Fa,Jinlong Yu,Haibin Yu,Xuezhong Zhou,Lei Zhang
标识
DOI:10.1109/bibm58861.2023.10385602
摘要

Objective: To study the phenotypic characteristics of the combination of disease and syndrome of COPD. Methods: Structured clinical EMRs of inpatients in the respiratory department of the First Affiliated Hospital of Henan University of Chinese Medicine for a total of 10 years from 2010 to 2019 were collected. Patients with COPD in Western medicine diagnosis on admission or discharge were used as the study subjects. A Heterogeneous Medical Record network based on COPD patients was constructed. Then, the K-means clustering algorithm was used to divide the supplemented patient medical record feature matrix into different modules (ie, subtypes), and enrichment analysis was performed on the phenotypes characteristics of different modules to determine the typical clinical phenotypes characteristics of different modules. Results: After the analysis of different phenotypic characteristics of COPD patients, it was found that the phenotypic characteristics of COPD patients were diverse. The prominent manifestation is that COPD patients often have diseases and symptoms other than respiratory system, and more than 70% of them have 2-6 different diseases. Through cluster study and analysis of each subtype of COPD patients revealed that each module has its own unique core characteristics. Conclusions: After the analysis of different phenotypic characteristics of COPD patients, it was found that the phenotypic characteristics of COPD patients were diverse, and each subtype has its own unique core characteristics.
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