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

Akhil Vaid   1, 2 * , MD ;   Suraj K Jaladanki   1, 2 * , BSc ;   Jie Xu   3 , PhD ;   Shelly Teng   1, 2 , BSc ;   Arvind Kumar   1, 2 , BSc ;   Samuel Lee   1, 2 , BSc ;   Sulaiman Somani   1, 2 , BSc ;   Ishan Paranjpe   1, 2 , BSc ;   Jessica K De Freitas   1, 2, 4 , BSc ;   Tingyi Wanyan   1, 5, 6 , BSc ;   Kipp W Johnson   1, 2 , PhD ;   Mesude Bicak   1, 2, 4 , PhD ;   Eyal Klang   7 , MD ;   Young Joon Kwon   8 , MSc ;   Anthony Costa   8 , PhD ;   Shan Zhao   1, 9 , MD, PhD ;   Riccardo Miotto   1, 4 , PhD ;   Alexander W Charney   2, 4, 10, 11 , MD, PhD ;   Erwin Böttinger   1, 2, 12 , MD ;   Zahi A Fayad   13, 14 , PhD ;   Girish N Nadkarni   1, 2, 15, 16 , MPH, MD ;   Fei Wang   3 , PhD ;   Benjamin S Glicksberg   1, 2, 4 , PhD

1 The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States

2 The Mount Sinai Clinical Intelligence Center, New York, NY, United States

3 Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States

4 Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States

5 Intelligent System Engineering, Indiana University, Bloomington, IN, United States

6 School of Information, University of Texas Austin, Austin, TX, United States

7 Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States

8 Department of Neurological Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States

9 Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

10 The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, United States

11 Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States

12 Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany

13 The BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States

14 Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

15 Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

16 The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

*these authors contributed equally

Corresponding Author:

  • Benjamin S Glicksberg, PhD
  • The Hasso Plattner Institute for Digital Health at Mount Sinai
  • Icahn School of Medicine at Mount Sinai
  • 770 Lexington Avenue, 14th Floor
  • New York, NY, 10065
  • United States
  • Phone: 1 (212) 731-7078
  • Email: benjamin.glicksberg@mssm.edu