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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pereira, A., Laureano, Raul M. S. & Neto, F. (2024). Simulation of human behaviour in adherence to preventive health programmes A methodological proposal and an example of its application. CISTI'2024 - 19th Iberian Conference on Information Systems and Technologies.
Exportar Referência (IEEE) 
A. M. Pereira et al.,  "Simulation of human behaviour in adherence to preventive health programmes A methodological proposal and an example of its application", in CISTI'2024 - 19th Iberian Conf. on Information Systems and Technologies, Salamanca, 2024
Exportar BibTeX 
@misc{pereira2024_1744890845814,
	author = "Pereira, A. and Laureano, Raul M. S. and Neto, F.",
	title = "Simulation of human behaviour in adherence to preventive health programmes A methodological proposal and an example of its application",
	year = "2024",
	howpublished = "Digital",
	url = "https://www.cisti.eu/2024/index.php/en/"
}
Exportar RIS 
TY  - CPAPER
TI  - Simulation of human behaviour in adherence to preventive health programmes A methodological proposal and an example of its application
T2  - CISTI'2024 - 19th Iberian Conference on Information Systems and Technologies
AU  - Pereira, A.
AU  - Laureano, Raul M. S.
AU  - Neto, F.
PY  - 2024
CY  - Salamanca
UR  - https://www.cisti.eu/2024/index.php/en/
AB  - In this paper, the authors present an approach to the development of simulation models that consider heath related individual behavior and the relations and patterns that explain it, based on our personal experience and in the published works of other authors with proven results in this field of research.
The authors demonstrate this approach using a real example of a computational simulation model focused on understanding the behavioral drivers behind the adherence to diabetic retinopathy screenings and the potential impact of different interventions. The model uses real data from 271,867 invitations for screening in the Portuguese Northern Regional Health Administration. The results obtained bear close resemblance to real world values, both in the training and in the test sets, which attests to the validity of the model for the study of this problem and its usefulness as a predictive tool for public health planning.
ER  -