Explainable machine learning model for identifying key risk factors in congenital heart disease prediction using questionnaire data: a retrospective case-control study
Authors
Qiang Shu (ORCID: https://orcid.org/0000-0002-3571-4084)
J. Ruan (ORCID: https://orcid.org/0009-0005-2182-4724)
Die Li (ORCID: https://orcid.org/0000-0003-2000-2372)
Key Research and Development Program of Zhejiang Province
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article
Explainable machine learning model for identifying key risk factors in congenital heart disease prediction using questionnaire data: a retrospective case-control study
Qiang Shu, J. Ruan, Die Li, Tiezheng Li et al.
Journal
BMC Medical Informatics and Decision Making
Topics
Congenital Heart Disease Studies
article
Explainable machine learning model for identifying key risk factors in congenital heart disease prediction using questionnaire data: a retrospective case-control study
Qiang Shu, J. Ruan, Die Li, Tiezheng Li, Weize XU, Yunyan Wang, Jiajia Chen
article en
Abstract
No abstract available for this paper.
Publication Tag
BMC Medical Informatics and Decision Making
Institutions
Children's Hospital of Zhejiang University (CN), Zhejiang University (CN)
Funders
National Natural Science Foundation of China, Key Research and Development Program of Zhejiang Province