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Paper Details

Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.
Int J Med Inform
24
2019
NAFL, NAFLD, NASH, NLP, cirrhosis, liver disease, non-alcoholic fatty liver disease, patients
Author NameAffiliation
Lili ChanIcahn School of Medicine at Mount Sinai
Catherine K CravenInstitute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, USA Clinical Informatics Group
Ron DoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
Stephen B EllisThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
Joseph KannryMount Sinai Medical Center
Ruth J F LoosThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
Judy H ChoThe Charles Bronfman Institute for Personalized Medicine, 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 NadkarniThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
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Release 1.2