Diagnosis and Prediction of Large-for-Gestational-Age Fetus Using the Stacked Generalization Method

Diagnosis and Prediction of Large-for-Gestational-Age Fetus Using the Stacked Generalization Method

An accurate and efficient Large-for-Gestational-Age (LGA) classification system is developed to classify a fetus as LGA or non-LGA, which has the potential to assist paediatricians and experts in establishing a state-of-the-art LGA prognosis process. The performance of the proposed scheme is validat...

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Bibliographic Details
Main Authors: Faheem Akhtar, Jianqiang Li, Yan Pei, Azhar Imran, Asif Rajput, Muhammad Azeem, Qing Wang
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Applied Sciences
Subjects:
recursive feature elimination with cross-validation
stacked generalization
large for gestational age
feature engineering
machine learning
bioinformatics
Online Access:https://www.mdpi.com/2076-3417/9/20/4317

Internet

https://www.mdpi.com/2076-3417/9/20/4317

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