Scalable Identification of Clinically Relevant Chronic Obstructive Pulmonary Disease Documents in Large-Scale Electronic Health Record Datasets With a Lightweight Natural Language Processing Model: Retrospective Cohort Study

Scalable Identification of Clinically Relevant Chronic Obstructive Pulmonary Disease Documents in Large-Scale Electronic Health Record Datasets With a Lightweight Natural Language Processing Model: Retrospective Cohort Study

Authors of this article:

Mohammed Al-Garadi¹ ;   Sharon E Davis¹ ;   Michael E Matheny^{1, 2, 3, 4} ;   Dax Westerman¹ ;   Adrienne K Conger⁵ ;   Bradley W Richmond^{4, 5} ;   Thomas A Lasko^{1, 6} ;   Iben M Ricket⁷ ;   Laura M Paulin⁸ ;   Jeremiah R Brown^{7, 9} ;   Ruth M Reeves^{1, 4}