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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;Kim, Joo-Chang;Chung, Kyungyong
최소영;김주창;정경용

  • Received : 2019.03.22
  • Accepted : 2019.07.20
  • Published : 2019.07.28

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.

Keywords

PHR;Nutrition;Multiple Regression Analysis;Healthcare;Health Platform;Time Series

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Acknowledgement

Supported by : Gyeonggi province