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Published on: September 20, 2018
Learning to Classify Medical Discharge Summaries According to ICD-9
Leonardo Moros1, Jérôme Azé1, Sandra Bringay1,2
1LIRMM UMR 5506, University of Montpellier, CNRS, Montpellier, France.
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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