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Prediction of short-term adverse clinical outcomes of acute pulmonary embolism using conventional machine learning and deep Learning based on CTPA images

Crossref DOI link: https://doi.org/10.1007/s11239-024-03044-4

Published Online: 2024-09-28

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

Authors

Wang, Dawei

Chen, Rong

Wang, Wenjiang

Yang, Yue

Yu, Yaxi

Liu, Lan

Yang, Fei https://orcid.org/0000-0002-7283-5790
Cui, Shujun
Funding

Funding for this research was provided by:

the department of Education of Hebei Province with the Funding Program for Cultivating Innovative Ability of Graduate Students in Hebei Province (CXZZSS2024127)

2024 Government-funded Training Program for Excellence in Clinical Medicine (ZF2024229)
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Text and Data Mining valid from 2024-09-28

Version of Record valid from 2024-09-28
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Article History

Accepted: 9 September 2024

First Online: 28 September 2024

Declarations

:

: Ethical approval for this study was obtained from the Institutional Review Board of the First Affiliated Hospital of Hebei North University. Written informed consent for participation was waived for this study as it adhered to national legislation and institutional guidelines.

: Not applicable.

: The authors declare no conflict of interest.

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