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Paper Details

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
J Med Internet Res
138
2020
C-reactive protein, COVID-19, LDH, Patients, acute kidney injury, hyperglycemia, patient, patients, people, tachypnea
Author NameAffiliation
Sulaiman SomaniThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Jessica K De FreitasThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Jessica K De FreitasIcahn School of Medicine at Mount Sinai
Kipp W JohnsonIcahn School of Medicine at Mount Sinai
Riccardo MiottoThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Riccardo MiottoIcahn School of Medicine at Mount Sinai
Riccardo MiottoThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Riccardo MiottoIcahn School of Medicine at Mount Sinai
Noam D BeckmannIcahn School of Medicine at Mount Sinai
Matteo DanielettoThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Laura M HuckinsIcahn School of Medicine at Mount Sinai
Laura M HuckinsIcahn School of Medicine at Mount Sinai
Laura M HuckinsIcahn School of Medicine at Mount Sinai
Patricia KovatchIcahn School of Medicine at Mount Sinai
Joseph FinkelsteinIcahn School of Medicine at Mount Sinai
Carol R HorowitzIcahn School of Medicine at Mount Sinai
Carol R HorowitzIcahn School of Medicine at Mount Sinai
Eric E SchadtIcahn School of Medicine at Mount Sinai
Eric E SchadtIcahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai
Eric E SchadtIcahn School of Medicine at Mount Sinai
Eric E SchadtIcahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai
Judy H ChoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
Valentin FusterThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai
Valentin FusterIcahn School of Medicine at Mount Sinai
Valentin FusterIcahn School of Medicine at Mount Sinai
Erwin P BottingerThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Erwin P BottingerHasso Plattner Institute, University of Potsdam
Erwin P BottingerThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Erwin P BottingerHasso Plattner Institute, University of Potsdam
Zahi A FayadBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai
Zahi A FayadIcahn School of Medicine at Mount Sinai
Allan C JustIcahn School of Medicine at Mount Sinai
Alexander W CharneyIcahn School of Medicine at Mount Sinai
Alexander W CharneyIcahn School of Medicine at Mount Sinai
Alexander W CharneyIcahn School of Medicine at Mount Sinai
Girish N NadkarniThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Girish N NadkarniThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
Girish N NadkarniIcahn School of Medicine at Mount Sinai
Girish N NadkarniThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Girish N NadkarniIcahn School of Medicine at Mount Sinai
Girish N NadkarniThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
Benjamin S GlicksbergThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Benjamin S GlicksbergIcahn School of Medicine at Mount Sinai
Benjamin S GlicksbergThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Benjamin S GlicksbergIcahn School of Medicine at Mount Sinai
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