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Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning
OBJECTIVE: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms. MATERIALS AND METHODS: We retrospectively enrolled 408 patients who underwent cardiac CT...
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| Vydáno v: | Korean J Radiol |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
The Korean Society of Radiology
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7909863/ https://ncbi.nlm.nih.gov/pubmed/33236537 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3348/kjr.2020.0099 |
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