Earticle

초록

영어

With the recent increase in asthma, asthma has become recognized as one of the diseases. The perception that bronchial asthma is a chronic disease and requires treatment has been strengthened. In addition, asthma is recognized as a dangerous disease due to environmental changes and efforts are made to minimize these risks. However, the environmental impact on asthma is hardly a factor that individuals in asthmatic patients can cope with. Therefore, this study was conducted to see if the asthma disease could be replaced by the individual efforts of asthma patients. In particular, since the management of asthma is important during adolescence, we conducted research on asthma in teenagers. Utilizing support vector machines, artificial neural networks and deep learning techniques that have recently drawn attention, we propose models to predict the asthma of teenagers. The study also provides guidelines to avoid factors that can cause asthma in teenagers.

목차

Abstract
1. 서론
2. 이론적 배경
2.1 천식 질환과 관련된 선행연구
2.2 인공신경망 분석
3. 연구 방법
3.1 자료 수집
3.2 연구절차 및 연구방법
3.3 변수 정의 및 데이터 전처리
3.4 데이터에 대한 기초 분석
3.5 모형 평가 및 결과
4. 결론
References

키워드

저자

• 노미진 [ Mi Jin Noh | Assistant Professor, Keimyung University, Department of Management Information System ] First Author
• 박순창 [ Soon Chang Park | Professor, Hyupsung University, Department of Business Administration ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005