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Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging

Crossref DOI link: https://doi.org/10.1007/s10554-024-03248-y

Published Online: 2024-09-25

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Hongsen

Ge, Lan

Zhou, Hang

Lu, Xu

Yu, Zhe

Peng, Peng

Wang, Xinyan

Liu, Ao

Chen, Tao

Guo, Jun

Chen, Yundai
Funding

Funding for this research was provided by:

General Logistics Department, People’s Liberation Army (22BJZ41)

General Logistics Department, People’s Liberation Army (22BJZ41)

General Logistics Department, People’s Liberation Army (22BJZ41)

General Logistics Department, People’s Liberation Army (22BJZ41)

General Logistics Department, People’s Liberation Army (22BJZ41)

General Logistics Department, People’s Liberation Army (22BJZ41)

General Logistics Department, People’s Liberation Army (22BJZ41)

General Logistics Department, People’s Liberation Army (22BJZ41)
License Information

Text and Data Mining valid from 2024-09-25

Version of Record valid from 2024-09-25
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Article History

Received: 23 September 2023

Accepted: 16 September 2024

First Online: 25 September 2024

Declarations

:

: The authors declare no competing interests.

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