Identifying Patients with Atrioventricular Septal Defect in Down Syndrome Populations by Using Self-Normalizing Neural Networks and Feature Selection-Reference-Cited by-同舟云学术

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Identifying Patients with Atrioventricular Septal Defect in Down Syndrome Populations by Using Self-Normalizing Neural Networks and Feature Selection

Published:2018-04-12 Issue:4 Volume:9 Page:208
ISSN:2073-4425
Container-title:Genes
language:en
Short-container-title:Genes

Author:

Pan Xiaoyong,Hu Xiaohua,Zhang Yu,Feng Kaiyan,Wang Shao,Chen Lei,Huang Tao,Cai Yu

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Youth Innovation Promotion Association of Chinese Academy of Sciences

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

Link

http://www.mdpi.com/2073-4425/9/4/208/pdf

Reference89 articles.

1. Public Health Research in Congenital Heart Disease

2. Transplantation and Mechanical Circulatory Support in Congenital Heart Disease

3. Eligibility and Disqualification Recommendations for Competitive Athletes With Cardiovascular Abnormalities: Task Force 4: Congenital Heart Disease

4. Down syndrome: Prevalence and distribution of congenital heart disease in Brazil

5. Cardiac Biomarkers of Low Cardiac Output Syndrome in the Postoperative Period After Congenital Heart Disease Surgery in Children

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