Cargando…
Patient-level explainable machine learning to predict major adverse cardiovascular events from SPECT MPI and CCTA imaging
BACKGROUND: 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. Furthermore, objective c...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651041/ https://www.ncbi.nlm.nih.gov/pubmed/37967112 http://dx.doi.org/10.1371/journal.pone.0291451 |