Learning from imbalanced fetal outcomes of systemic lupus erythematosus in artificial neural networks

Learning from imbalanced fetal outcomes of systemic lupus erythematosus in artificial neural networks

Abstract Objective To explore an effective algorithm based on artificial neural network to pick correctly the minority of pregnant women with SLE suffering fetal loss outcomes from the majority with live birth and train a well behaved model as a clinical decision assistant. Methods We integrated the...

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Bibliographic Details
Main Authors: Jing-Hang Ma, Zhen Feng, Jia-Yue Wu, Yu Zhang, Wen Di
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Systemic lupus erythematosus
Imbalanced data
Fetal outcome
Artificial neural networks
Clinical decision assistant
Online Access:https://doi.org/10.1186/s12911-021-01486-x

Internet

https://doi.org/10.1186/s12911-021-01486-x

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