This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1407) Registered Report (560) Machine Learning (1465) Pulmonology, COPD (143) Decision Support for Health Professionals (1185) Clinical Informatics (1022) Tools, Programs and Algorithms (266)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28953, first published .
Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study

Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study

Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study

Authors of this article:

Siyang Zeng1 Author Orcid Image ;   Mehrdad Arjomandi2, 3 Author Orcid Image ;   Yao Tong1 Author Orcid Image ;   Zachary C Liao1 Author Orcid Image ;   Gang Luo1 Author Orcid Image
Article Authors Cited by (14) Tweetations (14) Metrics

Journals

  1. Wang D, Li Y, Mao Y, He S, Zhu P, Wei Q. A machine-learning approach for predicting the effect of carnitine supplementation on body weight in patients with polycystic ovary syndrome. Frontiers in Nutrition 2022;9 View
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  6. El-Sherbini A, Hassan Virk H, Wang Z, Glicksberg B, Krittanawong C. Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review. AI 2023;4(2):437 View
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  8. Wang S, Li W, Zeng N, Xu J, Yang Y, Deng X, Chen Z, Duan W, Liu Y, Guo Y, Chen R, Kang Y. Acute exacerbation prediction of COPD based on Auto-metric graph neural network with inspiratory and expiratory chest CT images. Heliyon 2024;10(7):e28724 View
  9. Al-Anazi S, Al-Omari A, Alanazi S, Marar A, Asad M, Alawaji F, Alwateid S. Artificial intelligence in respiratory care: Current scenario and future perspective. Annals of Thoracic Medicine 2024;19(2):117 View
  10. Wang N, Li M, Wang G, Lv L, Yu X, Cheng X, Liu T, Ji W, Hu T, Shi Z. Development and validation of a nomogram for assessing survival in acute exacerbation of chronic obstructive pulmonary disease patients. BMC Pulmonary Medicine 2024;24(1) View
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Books/Policy Documents

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