The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Pattern Analysis of Clinical Signs in Cultured Olive Flounder, Paralichthys Olivaceus, with Edwardsielosis using the Decision Tree Technique

의사결정 나무 기법을 이용한 양식넙치의 에드워드병 증상 패턴 분석

  • 김경임 (스마트수산양식연구센터) ;
  • 정성주 (전남대학교 수산생명의학과) ;
  • 김성현 (수산질병관리진단전문연구소 피쉬케어) ;
  • 한순희 (전남대학교 문화콘텐츠학부) ;
  • 정희택 (전남대학교 문화콘텐츠학부) ;
  • 김태호 (전남대학교 해양기술학부) ;
  • 박정선 (전남대학교 문화콘텐츠학부)
  • Received : 2021.05.07
  • Accepted : 2021.08.17
  • Published : 2021.08.31
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Abstract

Edwardsiellosis is difficult to treat in cultured olive flounder, Paralichthys olivaceus. It is present in the fish for a long period during all growth stages, and it often leads to mass mortalites. In this paper, the clinical patterns of Edwardsiellosis were analyzed by dividing the data into the whole-water temperature, low-water temperature, low-high water temperature, high-water temperature, and high-low water temperature groups based on various clinical signs of diseased cultured olive flounder using a decision tree technique. In the clinical sign patterns in the decision trees analyzed in the experiment, clinical signs in the liver, such as liver nodules, liver hemorrhages, and liver degeneration, were selected as the criteria for determining Edwardsiellosis. The selected clinical signs were known as the major clinical signs of Edwardsiellosis, and through consultation with fishery disease experts, the analysis confirmed that the clinical signs of Edwardsiellosis were successfully found in this study.

에드워드병은 양식넙치에 있어 치료가 어렵고, 모든 성장 단계에서 지속적으로 장기간에 걸쳐 어체 내에 존재하면서 대량 폐사까지 이어지는 경우가 많다. 본 논문에서는 의사결정 나무 기법을 이용하여 발병한 양식넙치의 다양한 증상 데이터를 기반으로 전체 수온 구간 및 저수온, 저-고수온, 고수온, 고-저수온 구간으로 나누어 에드워드병의 증상 패턴을 분석하였다. 실험을 통해 분석된 의사결정 나무의 증상 패턴에는 간 결절을 비롯하여 간 출혈, 간 조직 변성 등 간의 증상이 에드워드병의 판별 기준으로 선택되었다. 선택된 증상은 에드워드병의 주요한 증상으로 알려진 것이며, 분석된 결과가 에드워드병의 증상 패턴을 성공적으로 찾아주고 있음을 수산질병전문가의 자문을 통해 확인하였다.

Keywords

Acknowledgement

본 논문은 2021년 해양수산부 재원으로 해양수산과학기술진흥원의 지원을 받아 수행된 연구임(스마트 수산양식 연구센터).

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