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Genetic Data Analysis and Business Process Management Platform for Personalized Nutrition Service

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Computational Science and Its Applications – ICCSA 2022 Workshops (ICCSA 2022)

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Abstract

Vitamins and minerals are essential micro-nutrients required by our bodies to optimize health and maintain well-being. Currently, our nutrient recommendations are one-size-fits-all or one solution for a large group of persons, however, due to the difference of each individual’s genetic background, lifestyle, and health condition, individual’s nutrition requirement is different from each other, therefore, we should compute and provide personalized nutrition supplementation solution for each person. At the beginning of this paper, we describe the importance of personalized nutrition for keeping healthy; then we give a description of our personalized nutrition intelligent service platform by analyzing genetic data, lifestyle data and physical examination data together to generate genetic interpretation report and personalized nutrition report, and further place order to produce customized nutrition packs for each customer. To promote management efficiency and reduce errors in business processes, we developed multiple business process management systems such as laboratory information management system (LIMS), bioinformatic pipelines, genetic interpretation system, customer relationship management (CRM) system and etc. All the systems were integrated together to have the ability of processing tens of thousands of samples in parallel.

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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 Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Østfold University College, Halden, Norway

    Sanjay Misra

  4. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  5. University of Cagliari, Cagliari, Italy

    Chiara Garau

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Yang, J. (2022). Genetic Data Analysis and Business Process Management Platform for Personalized Nutrition Service. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13381. Springer, Cham. https://doi.org/10.1007/978-3-031-10548-7_40

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  • DOI: https://doi.org/10.1007/978-3-031-10548-7_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-10547-0

  • Online ISBN: 978-3-031-10548-7

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