Comparing the current short-term cancer incidence prediction models in Brazil with state-of-the-art time-series models.

Autor: Bouzon Nagem Assad, Daniel^1,2 (AUTHOR) danielasssad@eng.uerj.br, Gomes Ferreira da Costa, Patricia¹ (AUTHOR), Spiegel, Thaís¹ (AUTHOR), Cara, Javier² (AUTHOR), Ortega-Mier, Miguel² (AUTHOR), Monteiro Scaff, Alfredo³ (AUTHOR)

Publikováno v: Scientific Reports. 2/25/2024, Vol. 14 Issue 1, p1-18. 18p.

Improving emergency department resource planning: a multiple case study.

Autor: Bouzon Nagem Assad D; Departamento de Engenharia Industrial, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.; Department of Organization Engineering, Business Administration and Statistics, Universidad Politécnica de Madrid, Madrid, Spain., Spiegel T; Departamento de Engenharia Industrial, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.

Publikováno v: Health systems (Basingstoke, England) [Health Syst (Basingstoke)] 2019 Nov 03; Vol. 9 (1), pp. 2-30. Date of Electronic Publication: 2019 Nov 03 (Print Publication: 2020).