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Tailored Nutrition Service to Reduce the Risk of Chronic Diseases

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Health Information Science (HIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13705))

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Abstract

Chronic diseases such as cancer, stroke, hypertension, coronary heart disease, and diabetes seriously harm human health. According to the statistics of the World Health Organization (WHO), cancer is the leading cause of death in the world, and constitutes a great public health challenge for all the countries worldwide. To optimize the chronic prevention and control model, it is inevitable to strengthen the analysis of multi dimension data including multi omics’ screening, physical examination, health condition and lifestyle data, to evaluate and identify high-risk groups effectively, and reduce the chronic disease risk through accurate, appropriate and effective intervention methods. In this paper, integrating genetic testing, physical examination, diet style, habits and customs, medical history, and exercise data together, we design and implement a personalized nutrition service that calculates the disease risk and nutrition requirement and then provides a tailored nutrition solution to reduce the risk of suffering from chronic diseases and the risk of death from chronic diseases.

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Acknowledgment

This research project is supported by Science Foundation of Beijing Language and Culture University (supported by “the Fundamental Research Funds for the Central Universities”) (Approval number: 22YJ080008).

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Authors and Affiliations

  1. School of Information Science, Beijing Language and Culture University, Beijing, 100083, China

    Jitao Yang

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  1. Jitao Yang
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Correspondence to Jitao Yang .

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Editors and Affiliations

  1. University of São Paulo, São Carlos, Brazil

    Agma Traina

  2. Victoria University, Melbourne, VIC, Australia

    Hua Wang

  3. Tsinghua University, Beijing, China

    Yong Zhang

  4. Victoria University, Footscray, VIC, Australia

    Siuly Siuly

  5. Swinburne University of Technology, Hawthorn, VIC, Australia

    Rui Zhou

  6. Swinburne University of Technology, Hawthorn, VIC, Australia

    Lu Chen

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Yang, J. (2022). Tailored Nutrition Service to Reduce the Risk of Chronic Diseases. In: Traina, A., Wang, H., Zhang, Y., Siuly, S., Zhou, R., Chen, L. (eds) Health Information Science. HIS 2022. Lecture Notes in Computer Science, vol 13705. Springer, Cham. https://doi.org/10.1007/978-3-031-20627-6_7

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  • DOI: https://doi.org/10.1007/978-3-031-20627-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20626-9

  • Online ISBN: 978-3-031-20627-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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