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A Prediction Model of Asthma Diseases in Teenagers Using Artificial Intelligence Models

인공지능 모델을 이용한 청소년들의 천식 질환 발생 예측 모델

  • Noh, Mi Jin (Keimyung University, Department of Management Information System) ;
  • Park, Soon Chang (Hyupsung University, Department of Business Administration)
  • Received : 2020.11.30
  • Accepted : 2020.12.17
  • Published : 2020.12.31

Abstract

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.

Keywords

References

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