Support to Early Diagnosis of Gestational Diabetes Aided by Bayesian Networks-Reference-Cited by-同舟云学术

Support to Early Diagnosis of Gestational Diabetes Aided by Bayesian Networks

Published:2019 Issue: Volume: Page:360-369
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Filho Egidio Gomes,Pinheiro Plácido R.,Pinheiro Mirian C. D.,Nunes Luciano C.,Gomes Luiza B. G.,Farias Pedro P. M.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-19810-7_36

Reference33 articles.

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2. Australian Institute of Health and Welfare (AIHW): Prevention of cardiovascular disease, diabetes and chronic kidney disease: targeting risk factors, vol. 118 (2009)

3. Ranciaro, R.M.D.C., Mauad-Filho, F.: Effects of glucose ingestion on maternal-fetal circulation. Braz. J. Gynecol. Obstet. 28(12), 693–699 (2006). http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-72032006001200002 . Accessed 15 Sept 2018

4. Schmidt, M.I., Reichelt, A.J.: Consensus on gestational diabetes and pre-gestational diabetes. Braz. Arch. Endocrinol. Metab. (ABE&M) 43, 14–20 (1999). ISSN 1677-9487

5. Rehder, P.M., Pereira, B.G., Silva, J.L.P.E.: Gestational and neonatal outcomes in women with positive screening for diabetes mellitus and oral glucose tolerance test - 100 g normal. Braz. J. Gynecol. Obstet. 33(2), 81–86 (2011). ISSN 0100-7203

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