Risk factors and predictive models for post-operative moderate-to-severe mitral regurgitation following transcatheter aortic valve replacement: a machine learning approach

Authors

Jianing Fan (ORCID: https://orcid.org/0000-0002-1952-2701)
Daxin Zhou (ORCID: https://orcid.org/0000-0002-9926-5708)
Jiaxin Miao
Jingyan Zhao
Jiajun Fan (ORCID: https://orcid.org/0000-0003-3721-5745)
Xiaochun Zhang (ORCID: https://orcid.org/0000-0002-7716-0278)
Zhenzhen Li (ORCID: https://orcid.org/0000-0002-7035-6657)
Junbo Ge (ORCID: https://orcid.org/0000-0002-9360-7332)
Dawei Lin (ORCID: https://orcid.org/0000-0002-8171-9898)
Wenzhi Pan

Institutions

University of Shanghai for Science and Technology (CN)
Sun Yat-sen University (CN)
Chongqing University (CN)
Fudan University (CN)
Zhongshan Hospital (CN)
The First Affiliated Hospital, Sun Yat-sen University (CN)

Publication Details

Journal: BMC Cardiovascular Disorders
Published: 2025-05-10
DOI: https://doi.org/10.1186/s12872-025-04759-9
Citations: 1
Primary Topic: Cardiac Valve Diseases and Treatments
Type: article
Field-Weighted Citation Impact: 1.39

Funders

National Natural Science Foundation of China

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article

Risk factors and predictive models for post-operative moderate-to-severe mitral regurgitation following transcatheter aortic valve replacement: a machine learning approach

Jianing Fan, Daxin Zhou, Jiaxin Miao, Jingyan Zhao et al.

May 10, 2025

1 citations

BMC Cardiovascular Disorders

Cardiac Valve Diseases and Treatments

1.39

article

Risk factors and predictive models for post-operative moderate-to-severe mitral regurgitation following transcatheter aortic valve replacement: a machine learning approach

Jianing Fan, Daxin Zhou, Jiaxin Miao, Jingyan Zhao, Jiajun Fan, Xiaochun Zhang, Zhenzhen Li, Junbo Ge, Dawei Lin, Wenzhi Pan

May 10, 2025article en

1 citations

Abstract

No abstract available for this paper.

BMC Cardiovascular DisordersVol. 25(1)

University of Shanghai for Science and Technology (CN), Sun Yat-sen University (CN), Chongqing University (CN), Fudan University (CN), Zhongshan Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)

National Natural Science Foundation of China

Zero hunger

Openalex Percentile: Top 19%

Cardiac Valve Diseases and Treatments

1.39

DOI Open Access PDF OpenAlex

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Risk factors and predictive models for post-operative moderate-to-severe mitral regurgitation following transcatheter aortic valve replacement: a machine learning approach — Jianing Fan, Daxin Zhou, et al. · BMC Cardiovascular Disorders (2025) | TGRS Research Map | TGRS