A Hybrid Model to Support Public Obesity Treatment Policies-Reference-Cited by-同舟云学术

A Hybrid Model to Support Public Obesity Treatment Policies

Published:2021 Issue: Volume: Page:591-603
ISSN:2213-8684
Container-title:Research and Innovation Forum 2020
language:
Short-container-title:

Author:

Pinheiro Placido Rogerio,Nunes Luciano C.,Pinheiro Mirian Calíope D.,Pontes Consuelo O.,Rolim Karla M. C.,de Abreu Wilson Correia,de Abreu Margarida Neves,Pinheiro Luana I. C. C.,Pereira Maria L. D.,Pinheiro Pedro G. C. D.,Comin-Nunes Rafael

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-62066-0_45

Reference15 articles.

1. WHO. World Health Organization. Available at https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Accessed on 03 Dec 2020

2. BRAZIL, Ministry of Health. National Supplementary Health Agency. Manual of Guidelines for Coping with Obesity in Brazilian Supplementary Health (ANS, Rio de Janeiro, 2017)

3. ABESO. Brazilian Association for the Study of Obesity and Metabolic Syndrome. Brazilian Obesity Guidelines, 4th edn. (ABESO, São Paulo, 2016). Available at https://www.abeso.org.br/uploads/downloads/92/57fccc403e5da.pdf. Accessed on 05 Dec 2020

4. A.K.A. De Castro, P.R. Pinheiro, M.C.D. Pinheiro, A hybrid model for aiding in decision making for the neuropsychological diagnosis of Alzheimer’s disease, in Lecture Notes in Computer Science. Rough Sets and Current Trends in Computing, vol. 5306 (2008), pp. 495–504

5. A.C. Menezes, P.R. Pinheiro, M.C.D. Pinheiro, T.P. Cavalcante, Towards the applied hybrid model in decision making: support the early diagnosis of type 2 diabetes, in 3rd International Conference on Information Computing and Applications (ICICA), LNCS, vol. 7473 (2012), pp. 648–655