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Machine Learning (2244) Decision Support for Health Professionals (1646) Natural Language Processing (964) Electronic Health Records (1385) Clinical Information and Decision Making (2081)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33043, first published .
Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study

Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study

Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study

Authors of this article:

Siyang Zeng1 Author Orcid Image ;   Mehrdad Arjomandi2, 3 Author Orcid Image ;   Gang Luo1 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Journals

  1. Kim S. Factors Affecting Mortality and Distribution of Co-morbidities in Chronic Obstructive Pulmonary Disease. Journal of Health Informatics and Statistics 2024;49(1):35 View
  2. Carlin B. Exacerbations of COPD. Respiratory Care 2023;68(7):961 View
  3. Shu P, Qin D, Xu F, Guo L, Wen Z, Wang X. Development and internal validation of an interpretable machine learning model for predicting dialysis risk in patients with stage 3–4 chronic kidney disease. Frontiers in Public Health 2026;14 View

Books/Policy Documents

  1. Cano I, Arismendi E, Borrat X. Digital Respiratory Healthcare. View