An explainable deep learning model to predict partial anomalous pulmonary venous connection for patients with atrial septal defect

In this study, the LightGBM model performs excellently in determining whether patients with ASD are accompanied by PAPVC. ECG parameters such as P-wave voltage were important to predictive value and enhance the explainability of the model.

Authors

Sibao Wang (ORCID: https://orcid.org/0000-0002-5880-0815)
Zhixian Ji
Zhixin Li (ORCID: https://orcid.org/0000-0002-6292-3412)
Gang Luo (ORCID: https://orcid.org/0000-0002-7559-5809)
Silin Pan (ORCID: https://orcid.org/0000-0001-9831-4961)

Institutions

Qingdao University (CN)
Qingdao Women and Children's Hospital (CN)

Publication Details

Journal: BMC Pediatrics
Published: 2024-11-08
DOI: https://doi.org/10.1186/s12887-024-05193-0
Primary Topic: Congenital Heart Disease Studies
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Natural Science Foundation of China
National Key Research and Development Program of China

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article

An explainable deep learning model to predict partial anomalous pulmonary venous connection for patients with atrial septal defect

Sibao Wang, Zhixian Ji, Zhixin Li, Gang Luo et al.

Nov 8, 2024

BMC Pediatrics

Congenital Heart Disease Studies

article

An explainable deep learning model to predict partial anomalous pulmonary venous connection for patients with atrial septal defect

Sibao Wang, Zhixian Ji, Zhixin Li, Gang Luo, Silin Pan

November 8, 2024article en

Abstract

In this study, the LightGBM model performs excellently in determining whether patients with ASD are accompanied by PAPVC. ECG parameters such as P-wave voltage were important to predictive value and enhance the explainability of the model.

BMC PediatricsVol. 24(1)

Qingdao University (CN), Qingdao Women and Children's Hospital (CN)

National Natural Science Foundation of China, National Key Research and Development Program of China

Quality Education

Openalex Percentile: Top 70%

Congenital Heart Disease Studies

DOI Open Access PDF OpenAlex

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An explainable deep learning model to predict partial anomalous pulmonary venous connection for patients with atrial septal defect — Sibao Wang, Zhixian Ji, et al. · BMC Pediatrics (2024) | TGRS Research Map | TGRS