title: Enhanced normalization of emergency department chief complaints.
abstract: There is a need for an efficient and effective means of categorizing Emergency Department Chief Complaints. We improved the performance of our previously described learning normalizer algorithm by broadening its training set to include data from multiple hospitals. We also achieved a statistically significant additional improvement by incorporating a spell-checking algorithm.
authors.affiliation: GMS Boston University, Boston, MA, USA.
authors.forename: Michael S
authors.initials: MS
authors.lastname: Aswell
authors.forename: Samuli T
authors.initials: ST
authors.lastname: Niiranen
authors.forename: Larry A
authors.initials: LA
authors.lastname: Nathanson
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D004636:Emergency Service, Hospital / Q000458:organization & administration*; D006801:Humans; D010363:Pattern Recognition, Automated