Early Prediction of Weight at Birth Using Support Vector Regression-Reference-Cited by-同舟云学术

Early Prediction of Weight at Birth Using Support Vector Regression

Published:2019-10-01 Issue: Volume: Page:37-41
ISSN:1680-0737
Container-title:IFMBE Proceedings
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Author:

Campos Trujillo Oliver,Perez-Gonzalez Jorge,Medina-Bañuelos Verónica

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-30648-9_5

Reference8 articles.

1. World Health Organization Maternal Health and Safe Motherhood Programme: Low birth weight: a tabulation of available information. Technical report, Geneva (1992)

2. Milner, J., Arezina, J.: The accuracy of ultrasound estimation of fetal weight in comparison to birth weight: a systematic review. Ultrasound 26(1), 32–41 (2018)

3. Sereno, F., Marques, P., Matos, A., Bernardes, J.: Support vector regression applied to foetal weight estimation. In: International Conference on Neural Networks, vol. 2, pp. 1455–1458 (2001)

4. Yu, J., Wang, Y., Chen, P.: Fetal weight estimation using the evolutionary fuzzy support vector regression for low-birth-weight fetuses. IEEE Trans. Inf. Technol. Biomed. 13(1), 57–66 (2009)

5. Kang, J., Park, E., Yang, Y.: Crown-rump length measured in the early first trimester as a predictor of low birth weigh. Yonsei Med. J. 54(4), 1049–1052 (2013)

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