most citedComparing Rule-Based and Deep Learning Models for Patient Phenotyping

19 citations · 19 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2017★ 19 cited

Comparing Rule-Based and Deep Learning Models for Patient Phenotyping

Sebastian Gehrmann, Franck Dernoncourt, Yeran Li +8

Objective: We investigate whether deep learning techniques for natural language processing (NLP) can be used efficiently for patient phenotyping. Patient phenotyping is a classific…