1.
Stud Health Technol Inform
; 302: 773-777, 2023 May 18.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37203493
RESUMO
CONTEXT: We present a post-hoc approach to improve the recall of ICD classification. METHOD: The proposed method can use any classifier as a backbone and aims to calibrate the number of codes returned per document. We test our approach on a new stratified split of the MIMIC-III dataset. RESULTS: When returning 18 codes on average per document we obtain a recall that is 20% better than a classic classification approach.