Code for "Mitigating Multi-Label Imbalance in ICD Coding: A Comprehensive Evaluation of Loss Functions and Threshold Optimization"

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Choi Seunghun
DOI: 10.5281/zenodo.18604629
Cited by: 0

Abstract

This repository contains the official implementation for the paper"Mitigating Multi-Label Imbalance in ICD Coding: A Comprehensive Evaluation of Loss Functions and Threshold Optimization".It includes training and evaluation code for long-tailed multi-label classification on medical datasets.

Fields of Study & Subjects

Imbalanced Data Classification Techniques Machine Learning in Healthcare Text and Document Classification Technologies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 February 2026
Language
EN