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Exploring the relationship between hypertension and nutritional ingredients intake with machine learning

  • Published:2020-08 Issue:4 Volume:7 Page:103-108
  • ISSN:2053-3713
  • Container-title:Healthcare Technology Letters
  • language:en
  • Short-container-title:Healthcare Technology Letters

Author:

Liu Yu1ORCID,Li Shijie1,Jiang Huaiyan1,Wang Junfeng2

Affiliation:

1. School of Microelectronics Tianjin University Tianjin 300072 People's Republic of China

2. Department of Hepatobiliary The First People's Hospital of Yunnan Province Kunming 650031 People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Reference34 articles.

1. Global Status Report on Noncommunicable Diseases WHO Geneva Switzerland 2014

2. Global Nutrition Report CNS Beijing China 2016

3. Research on information management of comprehensive prevention and control of chronic diseases in China;Min Z.;China Public Health Manage.,2016

4. Report on nutrition and chronic disease status of Chinese residents (2015);Gu J.F.;J. Nutr.,2016

5. Statistics Department: ‘Death Cause Statistics of 105 Nationals’ Ministry of Health and Welfare 2017

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