Non-invasive ML methods for diagnosis of congenital heart disease associated with pulmonary arterial hypertension.

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作者： Yuyang,Gao ^[1] ; Pengyue,Ma ^[1] ; Jiahua,Pan ^[2] ; Hongbo,Yang ^[2] ; Tao,Guo ^[2] ; Weilian,Wang ^[1]

作者单位： Country School of Information Science and Engineering, Yunnan University, Kunming, China. ^[1] Fuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China. ^[2]

关键词 congenital heart disease associated with pulmonary arterial hypertension ensemble learning heart sounds classification machine learning segmentation

DOI 10.3389/fphys.2024.1502725

PMID 39830028

发布时间 2025-01-22

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Frontiers in physiology

2024年15卷

1502725页

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Non-invasive ML methods for diagnosis of congenital heart disease associated with pulmonary arterial hypertension.

Frontiers in physiology

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Frontiers in physiology

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Non-invasive ML methods for diagnosis of congenital heart disease associated with pulmonary arterial hypertension.

Frontiers in physiology

相似文献

Frontiers in physiology

相关期刊

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