Interpretable Disease Name Estimation based on Learned Models using Semantic Representation Learning of Medical Terms

Ikuo Keshi, Ryota Daimon, Atsushi Hayashi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper describes a method for constructing a learned model for estimating disease names using semantic representation learning for medical terms and an interpretable disease-name estimation method based on the model. Experiments were conducted using old and new electronic medical records from Toyama University Hospital, where the data distribution of disease names differs significantly. The F1-score of the disease name estimation was improved by about 10 points compared with the conventional method using a general word semantic vector dictionary with a faster linear SVM. In terms of the interpretability of the estimation, it was confirmed that 70% of the disease names could provide higher-level concepts as the basis for disease name estimation. As a result of the experiments, we confirmed that both interpretability and accuracy for disease name estimation are possible to some extent.

Original languageEnglish
Title of host publication14th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2022 as part of IC3K 2022 - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
EditorsFrans Coenen, Ana Fred, Joaquim Filipe
PublisherScience and Technology Publications, Lda
Pages265-272
Number of pages8
ISBN (Electronic)9789897586149
StatePublished - 2022
Event14th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2022 as part of 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022 - Valletta, Malta
Duration: 2022/10/242022/10/26

Publication series

NameInternational Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings
Volume1
ISSN (Electronic)2184-3228

Conference

Conference14th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2022 as part of 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022
Country/TerritoryMalta
CityValletta
Period2022/10/242022/10/26

Keywords

  • Computer Assisted Coding
  • Discharge Summary
  • Disease Thesaurus
  • Interpretable Machine Learning
  • Semantic Representation Learning
  • Word Semantic Vector Dictionary

ASJC Scopus subject areas

  • Software
  • Management of Technology and Innovation
  • Strategy and Management

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