Communication Dans Un Congrès Année : 2023

Learning to Classify Medical Discharge Summaries According to ICD-9

Résumé

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.

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Dates et versions

hal-05044325 , version 1 (23-04-2025)

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Leonardo Moros, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Maximilien Servajean, et al.. Learning to Classify Medical Discharge Summaries According to ICD-9. MIE 2023 - 33rd Medical Informatics Europe Conference, European Federation for Medical Informatics (EFMI); Swedish Federation for Medical Informatics (SFMI), May 2023, Gothenburg, Sweden. pp.773-777, ⟨10.3233/SHTI230264⟩. ⟨hal-05044325⟩
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