Data consistence analysis of a health surveillance system using Statechart and R.

Authors

  • Camila Kerps Facultad Regional Santa Fe, Universidad Tecnológica Nacional - Argentina

Keywords:

Tuberculosis,, public health system, health surveillance system, state machine

Abstract

The main goal of this research is the evaluation of the consistency of the data provided by the Health Surveillance System SNVS 2.0. To carry out such an evaluation, the design of a state machine is proposed. This machine specifies the different states through which a patient can pass in the SNVS 2.0 system. The machine will be implemented using the R language, from its implementation the machines associated with each patient will be simulated to identify problems in the quality of the data.

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Published

2024-10-18

How to Cite

Kerps, C. (2024). Data consistence analysis of a health surveillance system using Statechart and R. AJEA (Proceedings of UTN Academic Conferences and Events), (AJEA 38). Retrieved from https://rtyc.utn.edu.ar/index.php/ajea/article/view/1631

Conference Proceedings Volume

Section

Proceedings - Information and Computer Systems