Using NLP for Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation

Fatemeh Shah-Mohammadi, Joseph Finkelstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Patients with Chronic Obstructive Pulmonary Disease (COPD) frequently have other comorbidities such as congestive heart failure, hypertension, coronary artery disease, or atrial fibrillation. These conditions exhibit an overlapping set of symptoms which complicates early identification of the primary cause of an acute exacerbation upon admission to a hospital. Timely identification of the underlying condition that led to an acute exacerbation allows expedite prescription of an optimal care plan and reduce unnecessary medical procedures. The aim of this study was to develop a classification model using data from electronic health records for early identification of COPD exacerbation in newly admitted patients. The study cohort included patients with a prior diagnosis of COPD. Three predictive models have been developed among which random forest showed the best performance and resulted in 73% F1score and accuracy of 80%.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
EditorsDonald Adjeroh, Qi Long, Xinghua Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda M. Mondal, Jin Liu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3876-3878
Number of pages3
ISBN (Electronic)9781665468190
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 - Las Vegas, United States
Duration: 6 Dec 20228 Dec 2022

Publication series

NameProceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

Conference

Conference2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
Country/TerritoryUnited States
CityLas Vegas
Period6/12/228/12/22

Keywords

  • COPD exacerbation
  • Natural Language Processing
  • classification model
  • machine learning

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