Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients

Lili Chan(Icahn School of Medicine at Mount Sinai), Girish N. Nadkarni(Icahn School of Medicine at Mount Sinai), Judy H. Cho(Cedars-Sinai Medical Center), Pattharawin Pattharanitima(Icahn School of Medicine at Mount Sinai), Peter Kotanko(Renal Research Institute), Áine Duffy(Icahn School of Medicine at Mount Sinai), Kumardeep Chaudhary(Icahn School of Medicine at Mount Sinai), Aparna Saha(Icahn School of Medicine at Mount Sinai), Amy Yau(Icahn School of Medicine at Mount Sinai), Kinsuk Chauhan(Icahn School of Medicine at Mount Sinai), Tielman Van Vleck(Shanghai First People's Hospital), Steven G. Coca(Icahn School of Medicine at Mount Sinai), Alex D. Federman, Neha Debnath(Icahn School of Medicine at Mount Sinai), Kelly H. Beers(Icahn School of Medicine at Mount Sinai)
Kidney International
November 8, 2019
Cited by 58


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