Patient-level explainable machine learning to predict major adverse cardiovascular events from SPECT MPI and CCTA imaging.

Patient-level explainable machine learning to predict major adverse cardiovascular events from SPECT MPI and CCTA imaging.

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<h4>Background</h4>Machine learning (ML) has shown promise in improving the risk prediction in non-invasive cardiovascular imaging, including SPECT MPI and coronary CT angiography. However, most algorithms used remain black boxes to clinicians in how they compute their predictions. Furth...

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Bibliographic Details
Main Authors: Fares Alahdab, Radwa El Shawi, Ahmed Ibrahim Ahmed, Yushui Han, Mouaz Al-Mallah
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0291451&type=printable

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