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

JMIR Theme Issue: COVID-19 Special Issue (2453) Infectious Diseases (non-STD/STI) (1576) Clinical Information and Decision Making (1411) Machine Learning (1471) Decision Support for Health Professionals (1191) Theme Issue: Medical Informatics and COVID-19 (107) Innovative Methods in Public Health and Surveillance (332) Outbreak and Pandemic Preparedness and Management (1728) Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) Statistical Methods for Surveillance and Population Health (156)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25696, first published .
Modeling Predictive Age-Dependent and Age-Independent Symptoms and Comorbidities of Patients Seeking Treatment for COVID-19: Model Development and Validation Study

Modeling Predictive Age-Dependent and Age-Independent Symptoms and Comorbidities of Patients Seeking Treatment for COVID-19: Model Development and Validation Study

Modeling Predictive Age-Dependent and Age-Independent Symptoms and Comorbidities of Patients Seeking Treatment for COVID-19: Model Development and Validation Study

Authors of this article:

Yingxiang Huang1 Author Orcid Image ;   Dina Radenkovic2, 3 Author Orcid Image ;   Kevin Perez1 Author Orcid Image ;   Kari Nadeau4 Author Orcid Image ;   Eric Verdin1 Author Orcid Image ;   David Furman1 Author Orcid Image
Article Authors Cited by (3) Tweetations (9) Metrics

Journals

  1. Mamidi T, Tran-Nguyen T, Melvin R, Worthey E. Development of An Individualized Risk Prediction Model for COVID-19 Using Electronic Health Record Data. Frontiers in Big Data 2021;4 View
  2. Ormeño P, Márquez G, Guerrero-Nancuante C, Taramasco C. Detection of COVID-19 Patients Using Machine Learning Techniques: A Nationwide Chilean Study. International Journal of Environmental Research and Public Health 2022;19(13):8058 View
  3. Karacuha E, Ergun E, Tugrul N, Karacuha K, Tabatadze V. Analyzing Response Efficiency to COVID-19 and Underlying Factors of the Outbreak With Deep Assessment Methodology and Fractional Calculus. IEEE Access 2021;9:157812 View