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

Theme Issue: Medical Informatics and COVID-19 (118) JMIR Theme Issue: COVID-19 Special Issue (2493) Machine Learning (1727) Secondary Use of Clinical Data for Research and Surveillance (414) Infectious Diseases (non-STD/STI) (1656) Innovative Methods in Public Health and Surveillance (359) Outbreak and Pandemic Preparedness and Management (1779) Surveillance Systems (490)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24207, first published .
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach

Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach

Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach

Authors of this article:

Akhil Vaid1, 2 Author Orcid Image ;   Suraj K Jaladanki1, 2 Author Orcid Image ;   Jie Xu3 Author Orcid Image ;   Shelly Teng1, 2 Author Orcid Image ;   Arvind Kumar1, 2 Author Orcid Image ;   Samuel Lee1, 2 Author Orcid Image ;   Sulaiman Somani1, 2 Author Orcid Image ;   Ishan Paranjpe1, 2 Author Orcid Image ;   Jessica K De Freitas1, 2, 4 Author Orcid Image ;   Tingyi Wanyan1, 5, 6 Author Orcid Image ;   Kipp W Johnson1, 2 Author Orcid Image ;   Mesude Bicak1, 2, 4 Author Orcid Image ;   Eyal Klang7 Author Orcid Image ;   Young Joon Kwon8 Author Orcid Image ;   Anthony Costa8 Author Orcid Image ;   Shan Zhao1, 9 Author Orcid Image ;   Riccardo Miotto1, 4 Author Orcid Image ;   Alexander W Charney2, 4, 10, 11 Author Orcid Image ;   Erwin Böttinger1, 2, 12 Author Orcid Image ;   Zahi A Fayad13, 14 Author Orcid Image ;   Girish N Nadkarni1, 2, 15, 16 Author Orcid Image ;   Fei Wang3 Author Orcid Image ;   Benjamin S Glicksberg1, 2, 4 Author Orcid Image
Article Authors Cited by (130) Tweetations (18) Metrics

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  102. Li S, Yan M, Yuan R, Liu M, Liu N, Hong C. FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records. Journal of Biomedical Informatics 2025;165:104780 View
  103. Nariman G, Hamarashid H. Hierarchical federated learning for health trend prediction and anomaly detection using pharmacy data: from zone to national scale. International Journal of Data Science and Analytics 2025 View
  104. Pan J, Fan Z, Smith G, Guo Y, Bian J, Xu J. Federated learning with multi‐cohort real‐world data for predicting the progression from mild cognitive impairment to Alzheimer's disease. Alzheimer's & Dementia 2025;21(4) View
  105. Ullah F, Mohammad N, Mostarda L, Cacciagrano D, Ullah S, Zhao Y. THE-TAFL: Transforming Healthcare Edge with Transformer-based Adaptive Federated Learning and Learning Rate Optimization. Internet of Things 2025;32:101605 View
  106. Yao L, Chen Q, Yang K, Zheng Z, Chen Z, Wang D, Xia Y, Chen D, Chen L. Novel insight into prediction model for sleep quality among college students: a LASSO-derived sleep evaluation. Frontiers in Psychiatry 2025;16 View
  107. Nasajpour M, Pouriyeh S, Parizi R, Han M, Mosaiyebzadeh F, Liu L, Xie Y, Batista D. Federated Learning in Smart Healthcare: A Survey of Applications, Challenges, and Future Directions. Electronics 2025;14(9):1750 View
  108. Ren Y, Park Y, Shickel B, Guan Z, Patel A, Ma Y, Hu Z, Balch J, Loftus T, Rashidi P, Ozrazgat-Baslanti T, Bihorac A. Federated Learning for Predicting Major Postoperative Complications. Annals of Surgery Open 2025;6(2):e573 View

Books/Policy Documents

  1. Wang J, Qian C, Cui S, Glass L, Ma F. Machine Learning and Knowledge Discovery in Databases. View
  2. Malla R, Katneni V. Computational Methods in Drug Discovery and Repurposing for Cancer Therapy. View
  3. Georgoutsos A, Kerasiotis P, Kantere V. Web Information Systems Engineering – WISE 2023. View
  4. Mena-Camilo E, Hernández-Nava G, Leyva-López S, Salazar-Colores S. XLVI Mexican Conference on Biomedical Engineering. View
  5. Jabir K, Thirumurthi Raja A. Computational Intelligence for Clinical Diagnosis. View
  6. Dixit S, Gupta C. Recent Trends in Image Processing and Pattern Recognition. View
  7. Kondaveeti H, Simhadri C, Mangapathi S, Vatsavayi V. Federated Learning and Privacy-Preserving in Healthcare AI. View
  8. Pradhan B, Biswas D, Neelapu B, Sivaraman J, Pal K. Advances in Artificial Intelligence. View
  9. Obakhena H, Imoize A, Anyasi F. Federated Learning for Digital Healthcare Systems. View
  10. da Costa C, Zeiser F, da Rosa Righi R, Antunes R, Alegretti A, Bertoni A, de Oliveira Ramos G, de Mello B, Vanin F, Bertoletti O, Rigo S. IoT and ML for Information Management: A Smart Healthcare Perspective. View
  11. Moses S, Obermann K, Gautam K, Upadhyay G, Datla J. Exploration of Transformative Technologies in Healthcare 6.0. View

Conference Proceedings

  1. Agbley B, Li J, Haq A, Bankas E, Ahmad S, Agyemang I, Kulevome D, Ndiaye W, Cobbinah B, Latipova S. 2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). Multimodal Melanoma Detection with Federated Learning View
  2. Betti M, Bertolotti M, Bolgeo T, Bottrighi A, Cassinari A, Maconi A, Massarino C, Pennisi M, Rava E, Roveta A. 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS). A Preliminary Analysis of Hospitalized Covid-19 Patients in Alessandria Area: a machine learning approach View
  3. Moon S, Hee Lee W. 2023 International Conference on Electronics, Information, and Communication (ICEIC). Privacy-Preserving Federated Learning in Healthcare View
  4. Xia T, Han J, Ghosh A, Mascolo C. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection View
  5. Hasan M, Hamdan S, Poudel S, Vargas J, Poudel K. 2023 IEEE Conference on Artificial Intelligence (CAI). Prediction of Length-of-stay at Intensive Care Unit (ICU) Using Machine Learning based on MIMIC-III Database View
  6. Matta S, Hassine M, Lecat C, Borderie L, Guilcher A, Massin P, Cochener B, Lamard M, Quellec G. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Federated Learning for Diabetic Retinopathy Detection in a Multi-center Fundus Screening Network View
  7. Rifat R, Chakraborty Shruti A, Kamal M, Rabiul Alam M. 2023 26th International Conference on Computer and Information Technology (ICCIT). Privacy-Preserving Knee Osteoarthritis Classification: A Federated Learning Approach with GradCAM Visualization View
  8. M G, M S, Shenoy P, R V. 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC). Preserving Privacy and Security of Electronic Health Records using Blockchain-based Federated Learning (BFL) Framework View
  9. Hu S, Wu Z, Smith V. 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML). Fair Federated Learning via Bounded Group Loss View
  10. Gayathri Hegde M, Shenoy P, Venugopal K. 2023 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC). A Comparative Study of Neural Network and Machine Learning on Privacy Preserving Federated Learning for Healthcare Applications View
  11. S S, N H, Suliman W, Ravi V, Maria A. 2024 6th International Symposium on Advanced Electrical and Communication Technologies (ISAECT). Federated Learning-based Healthcare Services for COVID-19 Pandemic View