Article

DLGNet: Adversarial Reinforcement Learning for Disease Label Generation

2023-02-23

Abstract excerpt

International Classification of Diseases (ICD) coding has been considered as a multi-label prediction problem, requiring the assignment of one or more codes to a detailed discharge summary. Existing automatic ICD coding algorithms struggle to effectively classify medical diagnosis texts representing deep sparse categories. We propose Disease Label Generation Network (DLGNet), a novel adversarial network that trans...

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Literature Corpus work: d67c1d78-8b83-5a44-b998-d656d142d6b3
DOI: 10.21203/rs.3.rs-2613478/v1

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