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Akademický článek

A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability

Autor: Junyuan Feng, Jincheng Liang, Zihan Qiang, Yuexing Hao, Xia Li, Li Li, Qinqun Chen, Guiqing Liu, Hang Wei

Publikováno v: BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-12 (2023)

Abstract Background Intelligent cardiotocography (CTG) classification can assist obstetricians in evaluating fetal health. However, high classification performance is often achieved by complex machine learning (ML)-based models, which causes interpre

Externí odkaz: https://doaj.org/article/1bb1b6df5611424aa0304f25c8c31665

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Akademický článek

Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records

Autor: Liting Huang, Zhiying Jiang, Ruichu Cai, Li Li, Qinqun Chen, Jiaming Hong, Zhifeng Hao, Hang Wei

Publikováno v: BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-11 (2021)

Abstract Background Cardiotocography (CTG) interpretation plays a critical role in prenatal fetal monitoring. However, the interpretation of fetal status assessment using CTG is mainly confined to clinical research. To the best of our knowledge, ther

Externí odkaz: https://doaj.org/article/7cbc60ce01cb4498be35378160b5c81b

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Akademický článek

Identification of microRNAs in wool follicles during anagen, catagen, and telogen phases in Tibetan sheep.

Autor: Guangbin Liu, Ruize Liu, Qinqun Li, Xiaohui Tang, Mei Yu, Xinyun Li, Jianhua Cao, Shuhong Zhao

Publikováno v: PLoS ONE, Vol 8, Iss 10, p e77801 (2013)

BACKGROUND:Wool quality is one of the most important economic traits in sheep. The wool fiber is derived from specialized skin cells that are referred to as wool follicles. To understand the roles of microRNAs (miRNAs) in wool fiber growth, we detect

Externí odkaz: https://doaj.org/article/6ed2cacb804d44b384532aa2fbd35e13

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