Monitoring Bio-Chemical Indicators Using Machine Learning Techniques for an Effective Large for Gestational Age Prediction Model with Reduced Computational Overhead-Reference-Cited by-同舟云学术

Monitoring Bio-Chemical Indicators Using Machine Learning Techniques for an Effective Large for Gestational Age Prediction Model with Reduced Computational Overhead

Published:2019 Issue: Volume: Page:130-137
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Akhtar Faheem,Li Jianqiang,Guan Yu,Imran Azhar,Azeem Muhammad

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-3648-5_15

Reference25 articles.

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4. Spellacy, W.N., et al.: Macrosomia–maternal characteristics and infant complications. Obstet. Gynecol. 66(2), 158–161 (1985)

5. Whitaker, R.C., Dietz, W.H.: Role of the prenatal environment in the development of obesity. J. Pediatr. 132(5), 768–776 (1998)

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