Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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Prediction of Dietary Knowledge using Multiple Regression Analysis for Preventing Stomach Diseases

위장질환 예방을 위한 다중회귀분석을 이용한 식이지식 예측

  • Choi, So-Young (Data Mining Lab., Department of Computer Science, Kyonggi University) ;
  • Kim, Joo-Chang (Data Mining Lab., Department of Computer Science, Kyonggi University) ;
  • Chung, Kyungyong (Division of Computer Science and Engineering, Kyonggi University)
  • 최소영 (경기대학교 컴퓨터과학과) ;
  • 김주창 (경기대학교 컴퓨터과학과) ;
  • 정경용 (경기대학교 컴퓨터공학부)
  • Received : 2019.03.22
  • Accepted : 2019.07.20
  • Published : 2019.07.28
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Abstract

Modern society is undergoing nutritional imbalance according to the diet as the number of one person increases. This is increasing the incidence of chronic diseases such as gastrointestinal diseases and digestive diseases. This study suggests the prediction of dietary knowledge using multiple regression analysis for preventing chronic stomach diseases. The proposed method manages user's stomach diseases and dietary nutrition through the prediction of nutrition knowledge. It collects user's PHR through smart device and integrates in the health platform. The integrated data analyzes the dietary and activity of the user through multiple regression analysis. It predicts the required nutrients and provides services to users through applications. Therefore, it suggests recommended dietary components and consumed calories, appropriate dietary components based on the user's basal metabolism, and gastrointestinal levels. With the personalized health management, modern people can manage gastrointestinal diseases through a balanced diet.

현대사회는 1인가구가 증가함에 따라 불규칙한 식습관으로 인해 영양이 불균형하게 포진되어있다. 이러한 식습관은 위장질환, 소화기 질환 등 만성질환의 발병률을 증가시켰다. 본 논문은 위장질환 예방을 위한 다중회귀분석을 이용한 식이지식 예측을 제안한다. 제안하는 방법은 식이지식 예측을 통해 사용자의 위장질환과 식이영양을 관리하는 방법이다. 헬스 플랫폼에서 스마트 기기를 통해 수집된 사용자의 PHR을 통합한다. 통합된 데이터로부터 다중회귀분석을 이용하여 사용자의 식이와 활동량 변화를 분석한다. 사용자의 식이 성분과 소모 칼로리, 기초대사와 같은 상황정보를 입력으로 적절한 식이성분, 위장질환 수치의 변화를 예측하고 필요할 것으로 나타나는 영양성분을 사용자에게 권장한다. 이를 통해 현대인들은 균형 잡힌 식사를 통해 위장질환을 관리할 수 있다.

Keywords

OHHGBW_2019_v10n7_1_f0001.png 이미지

Fig. 1. Management of Nutrition Knowledge using Multiple Regression Analysis

Table 1. Definition of variables

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Table 2. Preprocessed dietary data

OHHGBW_2019_v10n7_1_t0002.png 이미지

Table 3. Performance evaluation

OHHGBW_2019_v10n7_1_t0003.png 이미지

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