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Integrating Coronary Plaque Information from CCTA by ML Predicts MACE in Patients with Suspected CAD
Conventional prognostic risk analysis in patients undergoing noninvasive imaging is based upon a limited selection of clinical and imaging findings, whereas machine learning (ML) algorithms include a greater number and complexity of variables. Therefore, this paper aimed to explore the predictive va...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025955/ https://www.ncbi.nlm.nih.gov/pubmed/35455712 http://dx.doi.org/10.3390/jpm12040596 |