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

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 though...

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Detalles Bibliográficos
Autores principales: Ma, Jing-Hang, Feng, Zhen, Wu, Jia-Yue, Zhang, Yu, Di, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042715/
https://www.ncbi.nlm.nih.gov/pubmed/33845834
http://dx.doi.org/10.1186/s12911-021-01486-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042715/
https://www.ncbi.nlm.nih.gov/pubmed/33845834
http://dx.doi.org/10.1186/s12911-021-01486-x

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