at the Doctoral Program in Complexity Sciences

Andreia Pereira

Adherence to the Screening of Diabetic Retinopathy: an Agent Based Simulation Model

The present research is focused on population-based screening for diabetic retinopathy and on the development of predictive models of emerging behaviours in this area. To achieve this, the specific objectives are:

  • Systematically review the literature on different diabetic retinopathy screening programmes implemented in Portugal and worldwide;
  • Develop intelligent and adaptive models through Social Simulations that address the interrelationships and individual behavioural profiles of different actors in screening programmes (clients, services and health professionals);
  • Test and validate the models developed through Data Mining techniques that allow the comparison of the predictive results obtained with the real data, the quantification of deviations and sensitivity analyses.

Research results can be used to promote knowledge, scenario making, decision support and policymaking. Once properly statistically validated, the computational models will enable the understanding of screening programmes and their planning and redesigning aiming optimal results. Additionally, we foresee use of our models as analytical tools to discover new relationships and behaviours observed at the macro level, which may be resulting of micro level interactions. In such positive case, they may provide insights into emerging behaviour for anticipatory actions.

Journal papers

  • Pereira, Andreia; Laureano, Raul; Neto, Fernando. Five Regions, Five Retinopathy Screening Programmes: A Systematic Review of the Portuguese Experience. Submitted to Systematic Reviews (under review).

Conference papers

  • Pereira, Andreia; Laureano, Raul; Neto, Fernando; Macedo, João. Adesão ao Rastreio da Retinopatia Diabética: um Modelo de Simulação Baseado em Agentes (in Portuguese). 20.ª Conferência da Associação Portuguesa de Sistemas de Informação (CAPSI’2020). October 2020. Access here.