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Prediction of microvascular obstruction from angio-based microvascular resistance and available clinical data in percutaneous coronary intervention: an explainable machine learning model

Crossref DOI link: https://doi.org/10.1038/s41598-025-87828-5

Published Online: 2025-01-24

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

Authors

Zhang, Zhe

Dai, Yang

Xue, Peng

Bao, Xue

Bai, Xinbo

Qiao, Shiyang

Gao, Yuan

Guo, Xuemei

Xue, Yanan

Dai, Qing

Xu, Biao

Kang, Lina
Funding

Funding for this research was provided by:

the National Key R&D Program of Ministry of Science and Technology (2022YFA1205904)

the Frontier Fundamental Research Program of Jiangsu Province for Leading Technology (BK20222002)

Jiangsu Provincial Key Research and Development Foundation (BE2022665)
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Text and Data Mining valid from 2025-01-24

Version of Record valid from 2025-01-24
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Article History

Received: 18 August 2024

Accepted: 22 January 2025

First Online: 24 January 2025

Declarations

:

: The authors declare no competing interests.

: The data collection for the study was approved by the Medical Ethics Committee of Nanjing Drum Tower Hospital (No.2021-531-02). Participants gave informed consent to participate in the study before taking part.

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