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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection

Published Online: 2025-01-20

Authors

Chen, Kuan-Yu

Huang, Yen-Chun

Liu, Chih-Kuang

Li, Shao-Jung

Chen, Mingchih
License Information

Text and Data Mining valid from 2025-01-20

Version of Record valid from 2025-01-20
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Article History

Received: 6 August 2024

Accepted: 3 January 2025

First Online: 20 January 2025

Declarations

:

: Following national regulations and with the approval of the Institutional Review Board (IRB) at Fu Jen Catholic University, the requirement for obtaining informed consent was waived for this study. The waiver was granted based on the assurance that participant information would remain confidential, with data anonymized through unique identifiers (protocol code C108121; approved on March 5, 2020). This waiver was deemed appropriate as the study met specific criteria outlined in Taiwan’s Human Subjects Protection Act and rigorously adhered to all established protocols.

: Not applicable.

: The authors declare no competing interests.

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