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

Non-randomized Protocols and Methods (ehealth) (568) JMIR Theme Issue: COVID-19 Special Issue (2453) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1518) Infectious Diseases (non-STD/STI) (1576) Outbreak and Pandemic Preparedness and Management (1728) Machine Learning (1471) Clinical Information and Decision Making (1411) Decision Support for Health Professionals (1191) Electronic Health Records (1058)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30083, first published .
An Early Warning Risk Prediction Tool (RECAP-V1) for Patients Diagnosed With COVID-19: Protocol for a Statistical Analysis Plan

An Early Warning Risk Prediction Tool (RECAP-V1) for Patients Diagnosed With COVID-19: Protocol for a Statistical Analysis Plan

An Early Warning Risk Prediction Tool (RECAP-V1) for Patients Diagnosed With COVID-19: Protocol for a Statistical Analysis Plan

Authors of this article:

Francesca Fiorentino1, 2 Author Orcid Image ;   Denys Prociuk1 Author Orcid Image ;   Ana Belen Espinosa Gonzalez1 Author Orcid Image ;   Ana Luisa Neves3 Author Orcid Image ;   Laiba Husain4 Author Orcid Image ;   Sonny Christian Ramtale1 Author Orcid Image ;   Emma Mi1 Author Orcid Image ;   Ella Mi1 Author Orcid Image ;   Jack Macartney4 Author Orcid Image ;   Sneha N Anand4 Author Orcid Image ;   Julian Sherlock4 Author Orcid Image ;   Kavitha Saravanakumar5 Author Orcid Image ;   Erik Mayer1 Author Orcid Image ;   Simon de Lusignan4, 6 Author Orcid Image ;   Trisha Greenhalgh4 Author Orcid Image ;   Brendan C Delaney1 Author Orcid Image
Article Authors Cited by (3) Tweetations (7) Metrics

Journals

  1. Espinosa-Gonzalez A, Prociuk D, Fiorentino F, Ramtale C, Mi E, Mi E, Glampson B, Neves A, Okusi C, Husain L, Macartney J, Brown M, Browne B, Warren C, Chowla R, Heaversedge J, Greenhalgh T, de Lusignan S, Mayer E, Delaney B. Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies. The Lancet Digital Health 2022;4(9):e646 View
  2. Liu L, Song W, Patil N, Sainlaire M, Jasuja R, Dykes P. Predicting COVID-19 severity: Challenges in reproducibility and deployment of machine learning methods. International Journal of Medical Informatics 2023;179:105210 View

Books/Policy Documents

  1. Antunes J, Furtado S, Rocha S, Pinto I, da Cunha M, Carlos C, Au-Yong-Oliveira M. Quality Innovation and Sustainability. View