Abstract
In this paper, we present the results of the software development, that collects, stores, and analyzes clinical and biological parameter (CBP) measurements provided by the end-user. The application area of this software corresponds to the WHO client level, i.e. self-monitoring of health or diagnostic data by the client. Software design and development have been performed in correspondence with microservice architecture principles. Also, it has been proposed and tested the cloud deployment of all software subsystems. For CBP measurements analysis we have selected preventive provisions of clinical protocols approved for use in medical practice by the Ministry of Health of Ukraine. To made them machine-understandable we have decided to model them using a custom domain-specific language (DSL). DSL is created using JetBrains MPS software, which provides necessary tools for model-driven development of custom DSLs. In our opinion, this software and DSL can be used not only by people, who want to get health insights but also by experts in the medical domain to extend the number of modeled clinical protocols, i.e. increase the quality of CBP analysis.
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Boiarskyi, O., Popereshnyak, S. (2022). Automated System and Domain-Specific Language for Medical Data Collection and Processing. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_25
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DOI: https://doi.org/10.1007/978-3-030-82014-5_25
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