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

#xPublicandGlobalHealth (33) JMIR Theme Issue: COVID-19 Special Issue (2394) Clinical Information and Decision Making (1340) Secondary Use of Clinical Data for Research and Surveillance (326) Machine Learning (1401) Outbreak and Pandemic Preparedness and Management (1679) Infectious Diseases (non-STD/STI) (1490) #xInfectiousDiseases (27)

Published on in Vol 2, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2021.03.21.21253984v2, first published .
Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study

Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study

Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study

Authors of this article:

Riccardo Doyle1 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Monjur O, Preo R, Shams A, Raihan M, Fairoz F. COVID-19 Prognosis and Mortality Risk Predictions from Symptoms: A Cloud-Based Smartphone Application. BioMed 2021;1(2):114 View
  2. Lodato I, Iyer A, To I, Lai Z, Chan H, Leung W, Tang T, Cheung V, Wu T, Ng G. Prognostic Model of COVID-19 Severity and Survival among Hospitalized Patients Using Machine Learning Techniques. Diagnostics 2022;12(11):2728 View

Books/Policy Documents

  1. Qi J, Burnside G, Coenen F. Big Data Analytics and Knowledge Discovery. View