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

Innovative Methods in Public Health and Surveillance (336) JMIR Theme Issue: COVID-19 Special Issue (2461) Outbreak and Pandemic Preparedness and Management (1743) Surveillance Systems (466) Infectious Diseases (non-STD/STI) (1592) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Secondary Use of Clinical Data for Research and Surveillance (375) Clinical Informatics (1050) E-Health / Health Services Research and New Models of Care (542)

Published on in Vol 7, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29504, first published .
Algorithm for Individual Prediction of COVID-19–Related Hospitalization Based on Symptoms: Development and Implementation Study

Algorithm for Individual Prediction of COVID-19–Related Hospitalization Based on Symptoms: Development and Implementation Study

Algorithm for Individual Prediction of COVID-19–Related Hospitalization Based on Symptoms: Development and Implementation Study

Authors of this article:

Rossella Murtas1 Author Orcid Image ;   Nuccia Morici2, 3 Author Orcid Image ;   Chiara Cogliati4 Author Orcid Image ;   Massimo Puoti2, 5 Author Orcid Image ;   Barbara Omazzi6 Author Orcid Image ;   Walter Bergamaschi7 Author Orcid Image ;   Antonio Voza8 Author Orcid Image ;   Patrizia Rovere Querini9 Author Orcid Image ;   Giulio Stefanini8 Author Orcid Image ;   Maria Grazia Manfredi10, 11 Author Orcid Image ;   Maria Teresa Zocchi10, 11 Author Orcid Image ;   Andrea Mangiagalli10, 11 Author Orcid Image ;   Carla Vittoria Brambilla10, 11 Author Orcid Image ;   Marco Bosio2 Author Orcid Image ;   Matteo Corradin2 Author Orcid Image ;   Francesca Cortellaro12 Author Orcid Image ;   Marco Trivelli13 Author Orcid Image ;   Stefano Savonitto14 Author Orcid Image ;   Antonio Giampiero Russo1 Author Orcid Image
Article Authors Cited by (8) Tweetations (4) Metrics

Journals

  1. Horvath A, Lind T, Frece N, Wurzer H, Stadlbauer V. Validation of a simple risk stratification tool for COVID-19 mortality. Frontiers in Medicine 2022;9 View
  2. Perrella A, Fortinguerra F, Pierantozzi A, Capoluongo N, Carannante N, Lo Vecchio A, Bernardi F, Trotta F, Cangini A. Hospital Antibiotic Use during COVID-19 Pandemic in Italy. Antibiotics 2023;12(1):168 View
  3. Song W, Zhang L, Liu L, Sainlaire M, Karvar M, Kang M, Pullman A, Lipsitz S, Massaro A, Patil N, Jasuja R, Dykes P. Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods. Journal of the American Medical Informatics Association 2022;29(10):1661 View
  4. Consolazio D, Murtas R, Tunesi S, Lamberti A, Senatore S, Faccini M, Russo A. A Comparison Between Omicron and Earlier COVID-19 Variants' Disease Severity in the Milan Area, Italy. Frontiers in Epidemiology 2022;2 View
  5. Tian C, Balmer L, Tan X. COVID-19 lessons to protect populations against future pandemics by implementing PPPM principles in healthcare. EPMA Journal 2023;14(3):329 View
  6. Bui D, Bajema K, Huang Y, Yan L, Li Y, Rajeevan N, Berry K, Rowneki M, Argraves S, Hynes D, Huang G, Aslan M, Ioannou G, Tian S. Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients–March 2022—April 2023. PLOS ONE 2024;19(10):e0307235 View
  7. Jacob Khoury S, Zoabi Y, Scheinowitz M, Shomron N. Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy. Viruses 2024;16(12):1864 View

Books/Policy Documents

  1. Moretti V, Caliandro A. Reframing Algorithms. View