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Paper Details

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.
IEEE Trans Big Data
5
2021
COVID-19, Coronoavirus, Coronoavirus-19, HGM, LSTM, heterogeneous, patient, patients
Author NameAffiliation
Tingyi WanyanHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, Indiana University, University of Texas at Austin
Akhil VaidHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Jessica K De FreitasHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Sulaiman SomaniHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Riccardo MiottoHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Riccardo MiottoHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Girish N NadkarniHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Girish N NadkarniHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Ariful AzadIndiana University
Ying Ding (CM4AI)University of Texas at Austin, and also with the Dell Medical School
Benjamin S GlicksbergHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
Benjamin S GlicksbergHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai
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