Predicting Coronary Stenosis Progression Using Plaque Fatigue From IVUS-Based Thin-Slice Models: A Machine Learning Random Forest Approach

Introduction: Coronary stenosis due to atherosclerosis restricts blood flow. Stenosis progression would lead to increased clinical risk such as heart attack. Although many risk factors were found to contribute to atherosclerosis progression, factors associated with fatigue is underemphasized. Our go...

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Detalles Bibliográficos
Autores principales: Guo, Xiaoya, Maehara, Akiko, Yang, Mingming, Wang, Liang, Zheng, Jie, Samady, Habib, Mintz, Gary S., Giddens, Don P., Tang, Dalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127388/
https://www.ncbi.nlm.nih.gov/pubmed/35620594
http://dx.doi.org/10.3389/fphys.2022.912447

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127388/
https://www.ncbi.nlm.nih.gov/pubmed/35620594
http://dx.doi.org/10.3389/fphys.2022.912447

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