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

JMIR Theme Issue: COVID-19 Special Issue (2388) Clinical Information and Decision Making (1314) Electronic Health Records (961) Decision Support for Health Professionals (1127) Machine Learning (1370) Outbreak and Pandemic Preparedness and Management (1673) Secondary Use of Clinical Data for Research and Surveillance (317) Artificial Intelligence (1186) Theme Issue: Medical Informatics and COVID-19 (103) Innovative Methods in Public Health and Surveillance (305) Clinical Informatics (904)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30157, first published .
COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation

COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation

COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation

Authors of this article:

Saranya Sankaranarayanan1 Author Orcid Image ;   Jagadheshwar Balan1 Author Orcid Image ;   Jesse R Walsh1 Author Orcid Image ;   Yanhong Wu1 Author Orcid Image ;   Sara Minnich1 Author Orcid Image ;   Amy Piazza1 Author Orcid Image ;   Collin Osborne1 Author Orcid Image ;   Gavin R Oliver1 Author Orcid Image ;   Jessica Lesko1 Author Orcid Image ;   Kathy L Bates1 Author Orcid Image ;   Kia Khezeli1 Author Orcid Image ;   Darci R Block1 Author Orcid Image ;   Margaret DiGuardo1 Author Orcid Image ;   Justin Kreuter1 Author Orcid Image ;   John C O’Horo1 Author Orcid Image ;   John Kalantari1 Author Orcid Image ;   Eric W Klee1 Author Orcid Image ;   Mohamed E Salama1 Author Orcid Image ;   Benjamin Kipp1 Author Orcid Image ;   William G Morice1 Author Orcid Image ;   Garrett Jenkinson1 Author Orcid Image
Article Authors Cited by (19) Tweetations (6) Metrics

Journals

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  5. Majeed A, Hwang S. Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments. Symmetry 2021;14(1):16 View
  6. Rosario B, Zhang A, Patel M, Rajmane A, Xie N, Weeraratne D, Alterovitz G. Characterizing Thrombotic Complication Risk Factors Associated With COVID-19 via Heterogeneous Patient Data: Retrospective Observational Study. Journal of Medical Internet Research 2022;24(10):e35860 View
  7. Shanbehzadeh M, Nopour R, Kazemi-Arpanahi H. Design of an artificial neural network to predict mortality among COVID-19 patients. Informatics in Medicine Unlocked 2022;31:100983 View
  8. Banoei M, Rafiepoor H, Zendehdel K, Seyyedsalehi M, Nahvijou A, Allameh F, Amanpour S. Unraveling complex relationships between COVID-19 risk factors using machine learning based models for predicting mortality of hospitalized patients and identification of high-risk group: a large retrospective study. Frontiers in Medicine 2023;10 View
  9. Kablan R, Miller H, Suliman S, Frieboes H. Evaluation of stacked ensemble model performance to predict clinical outcomes: A COVID-19 study. International Journal of Medical Informatics 2023;175:105090 View
  10. Flores E, Salinas J, Blasco Á, López-Garrigós M, Torreblanca R, Carbonell R, Martínez-Racaj L, Salinas M. Clinical Decision Support systems: A step forward in establishing the clinical laboratory as a decision maker hub - A CDS system protocol implementation in the clinical laboratory. Computational and Structural Biotechnology Journal 2023;22:27 View
  11. Yang C, Molefyane T, Lin Y. The Forecasting of a Leading Country’s Government Expenditure Using a Recurrent Neural Network with a Gated Recurrent Unit. Mathematics 2023;11(14):3085 View
  12. Pungitore S, Subbian V. Assessment of Prediction Tasks and Time Window Selection in Temporal Modeling of Electronic Health Record Data: a Systematic Review. Journal of Healthcare Informatics Research 2023;7(3):313 View
  13. Wang Y, Wang Z, Liu Y, Yu Q, Liu Y, Luo C, Wang S, Liu H, Liu M, Zhang G, Fan Y, Li K, Huang L, Duan M, Zhou F. Reconstructing the cytokine view for the multi-view prediction of COVID-19 mortality. BMC Infectious Diseases 2023;23(1) View
  14. Ávila-Jiménez J, Cantón-Habas V, Carrera-González M, Rich-Ruiz M, Ventura S. A deep learning model for Alzheimer’s disease diagnosis based on patient clinical records. Computers in Biology and Medicine 2024;169:107814 View
  15. Kamboj N, Metcalfe K, Chu C, Conway A. Predicting Blood Pressure After Nitroglycerin Infusion Dose Titration in Critical Care Units. CIN: Computers, Informatics, Nursing 2024;42(4):259 View
  16. Tong L, Shi W, Isgut M, Zhong Y, Lais P, Gloster L, Sun J, Swain A, Giuste F, Wang M. Integrating Multi-Omics Data With EHR for Precision Medicine Using Advanced Artificial Intelligence. IEEE Reviews in Biomedical Engineering 2024;17:80 View
  17. Badiola-Zabala G, Lopez-Guede J, Estevez J, Graña M. Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022. Electronics 2024;13(6):1005 View

Books/Policy Documents

  1. Chaki J. Next Generation Healthcare Informatics. View
  2. Kathuria I, Bhatia M, Garg A, Grover A. Proceedings of International Conference on Recent Innovations in Computing. View