Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases

Objective: Congenital heart diseases (CHDs) are associated with an extremely heavy global disease burden as the most common category of birth defects. Genetic and environmental factors have been identified as risk factors of CHDs previously. However, high volume clinical indicators have never been c...

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Detalles Bibliográficos
Autores principales: Qu, Yanji, Deng, Xinlei, Lin, Shao, Han, Fengzhen, Chang, Howard H., Ou, Yanqiu, Nie, Zhiqiang, Mai, Jinzhuang, Wang, Ximeng, Gao, Xiangmin, Wu, Yong, Chen, Jimei, Zhuang, Jian, Ryan, Ian, Liu, Xiaoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777022/
https://www.ncbi.nlm.nih.gov/pubmed/35071361
http://dx.doi.org/10.3389/fcvm.2021.797002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777022/
https://www.ncbi.nlm.nih.gov/pubmed/35071361
http://dx.doi.org/10.3389/fcvm.2021.797002

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