@inproceedings{eea87ab76b4c4f3690edfa46c718bb8f,
title = "Interpretable Disease Name Estimation based on Learned Models using Semantic Representation Learning of Medical Terms",
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.",
keywords = "Computer Assisted Coding, Discharge Summary, Disease Thesaurus, Interpretable Machine Learning, Semantic Representation Learning, Word Semantic Vector Dictionary",
author = "Ikuo Keshi and Ryota Daimon and Atsushi Hayashi",
note = "Publisher Copyright: Copyright {\textcopyright} 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.; 14th 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 ; Conference date: 24-10-2022 Through 26-10-2022",
year = "2022",
language = "英語",
series = "International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings",
publisher = "Science and Technology Publications, Lda",
pages = "265--272",
editor = "Frans Coenen and Ana Fred and Joaquim Filipe",
booktitle = "14th 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",
}