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

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
  3. D’Aversa E, Antonica B, Grisafi M, Asselta R, Paraboschi E, Passaro A, Volpato S, Remelli F, Castellazzi M, Marra A, Cittadini A, D’Assante R, Salvatori F, Singh A, Pernagallo S, Tisato V, Gemmati D. Integrating Host Genetics and Clinical Setting in Machine Learning Models: Predicting COVID-19 Prognosis for Healthcare Decision-Making (The FeMiNa Study). Diagnostics 2026;16(4):583 View

Books/Policy Documents

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