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

JMIR Theme Issue: COVID-19 Special Issue (2458) Decision Support for Health Professionals (1201) Clinical Information and Decision Making (1423) Machine Learning (1488) Outbreak and Pandemic Preparedness and Management (1739) Infectious Diseases (non-STD/STI) (1585) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29514, first published .
Predictive Modeling of Morbidity and Mortality in Patients Hospitalized With COVID-19 and its Clinical Implications: Algorithm Development and Interpretation

Predictive Modeling of Morbidity and Mortality in Patients Hospitalized With COVID-19 and its Clinical Implications: Algorithm Development and Interpretation

Predictive Modeling of Morbidity and Mortality in Patients Hospitalized With COVID-19 and its Clinical Implications: Algorithm Development and Interpretation

Authors of this article:

Joshua M Wang1, 2, 3 Author Orcid Image ;   Wenke Liu1, 2 Author Orcid Image ;   Xiaoshan Chen4 Author Orcid Image ;   Michael P McRae5 Author Orcid Image ;   John T McDevitt5 Author Orcid Image ;   David Fenyö1, 2, 6 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

Journals

  1. Elemam N, Hammoudeh S, Salameh L, Mahboub B, Alsafar H, Talaat I, Habib P, Siddiqui M, Hassan K, Al-Assaf O, Taneera J, Sulaiman N, Hamoudi R, Maghazachi A, Hamid Q, Saber-Ayad M. Identifying Immunological and Clinical Predictors of COVID-19 Severity and Sequelae by Mathematical Modeling. Frontiers in Immunology 2022;13 View
  2. Vianello A, Guarnieri G, Braccioni F, Lococo S, Molena B, Cecchetto A, Giraudo C, Bertagna De Marchi L, Caminati M, Senna G. The pathogenesis, epidemiology and biomarkers of susceptibility of pulmonary fibrosis in COVID-19 survivors. Clinical Chemistry and Laboratory Medicine (CCLM) 2022;60(3):307 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. Wang Z, Bowring M, Rosen A, Garibaldi B, Zeger S, Nishimura A. Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring. Statistical Science 2022;37(2) View
  5. De Freitas V, Chiloff D, Bosso G, Teixeira J, Hernandes I, Padilha M, Moura G, De Andrade L, Mancuso F, Finamor F, Serodio A, Arakaki J, Sartori M, Ferreira P, Rangel É. A Machine Learning Model for Predicting Hospitalization in Patients with Respiratory Symptoms during the COVID-19 Pandemic. Journal of Clinical Medicine 2022;11(15):4574 View
  6. Hong W, Zhou X, Jin S, Lu Y, Pan J, Lin Q, Yang S, Xu T, Basharat Z, Zippi M, Fiorino S, Tsukanov V, Stock S, Grottesi A, Chen Q, Pan J. A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile. Frontiers in Cellular and Infection Microbiology 2022;12 View
  7. Salcedo D, Guerrero C, Saeed K, Mardini J, Calderon-Benavides L, Henriquez C, Mendoza A. Machine Learning Algorithms Application in COVID-19 Disease: A Systematic Literature Review and Future Directions. Electronics 2022;11(23):4015 View
  8. Dai H, Huang R, Shang Y, Huang J, Su N, Zeng D, Li H, Li Y. Mortality risk analysis for patients with severe coronavirus disease 2019 pneumonia. Radiology of Infectious Diseases 2022;9(4):126 View
  9. Abbasi Habashi S, Koyuncu M, Alizadehsani R. A Survey of COVID-19 Diagnosis Using Routine Blood Tests with the Aid of Artificial Intelligence Techniques. Diagnostics 2023;13(10):1749 View
  10. Kim T, Lee H. Evaluating AI Models and Predictors for COVID-19 Infection Dependent on Data from Patients with Cancer or Not: A Systematic Review. Korean Journal of Clinical Pharmacy 2024;34(3):141 View