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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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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