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

Formative Evaluation of Non-Ehealth Innovations (134) Pulmonology, COPD (143) Clinical Informatics (1022) Secondary Use of Clinical Data for Research and Surveillance (367) Chronic Conditions (270) Longitudinal and Cohort Studies in Public Health (309) E-Health / Health Services Research and New Models of Care (517) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185)

Published on in Vol 5, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26314, first published .
Using a Constraint-Based Method to Identify Chronic Disease Patients Who Are Apt to Obtain Care Mostly Within a Given Health Care System: Retrospective Cohort Study

Using a Constraint-Based Method to Identify Chronic Disease Patients Who Are Apt to Obtain Care Mostly Within a Given Health Care System: Retrospective Cohort Study

Using a Constraint-Based Method to Identify Chronic Disease Patients Who Are Apt to Obtain Care Mostly Within a Given Health Care System: Retrospective Cohort Study

Authors of this article:

Yao Tong1 Author Orcid Image ;   Zachary C Liao1 Author Orcid Image ;   Peter Tarczy-Hornoch1, 2, 3 Author Orcid Image ;   Gang Luo1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Zeng S, Arjomandi M, Tong Y, Liao Z, Luo G. Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study. Journal of Medical Internet Research 2022;24(1):e28953 View
  2. Tong Y, Lin B, Chen G, Zhang Z. Predicting Continuity of Asthma Care Using a Machine Learning Model: Retrospective Cohort Study. International Journal of Environmental Research and Public Health 2022;19(3):1237 View