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An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records
2015
Artificial Intelligence in Medicine
: Diagnosis codes are assigned to medical records in healthcare facilities by trained coders by reviewing all physician authored documents associated with a patient's visit. This is a necessary and complex task involving coders adhering to coding guidelines and coding all assignable codes. With the popularity of electronic medical records (EMRs), computational approaches to code assignment have been proposed in the recent years. However, most efforts have focused on single and often short
doi:10.1016/j.artmed.2015.04.007
pmid:26054428
pmcid:PMC4605853
fatcat:sxqh2dxh35dntcaw2ayvu4e3se