Vocabulary Domain Prediction for Pathological Report Analysis Using ICD-O3

Sunho Choi, Insoo Kim, Yoojoong Kim, Junhee Seok

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Pathology is a basic medical field of diagnosing diseases and describing their conditions that are presented in a medical report form. It is important to understand the medical domain from various medical terms in the reports, such as observation parts, disease conditions and names, and measuring units. In this paper, we apply various machine learning algorithms to predict the domain of untrained terms used in real pathological reports. Here, we focus on the oncology section with ICD-O3. The analysis result shows the possibility and potential usefulness of the domain prediction using medical terms.

Original languageEnglish
Title of host publicationICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages520-522
Number of pages3
ISBN (Electronic)9781728113395
DOIs
Publication statusPublished - 2019 Jul
Event11th International Conference on Ubiquitous and Future Networks, ICUFN 2019 - Zagreb, Croatia
Duration: 2019 Jul 22019 Jul 5

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2019-July
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
Country/TerritoryCroatia
CityZagreb
Period19/7/219/7/5

Bibliographical note

Funding Information:
This work was supported by the grants of the NRF of Korea (NRF-2017R1C1B2002850) and KHIDI1(HI19C0360, HI19C0201). The correspondence should be addressed to jseok14@korea.ac.kr

Publisher Copyright:
© 2019 IEEE.

Keywords

  • ICD-O3
  • Machine Learning
  • Natural Language Processing
  • Pathology
  • Text Classification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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