Cargando…
Prediction of disorders with significant coronary lesions using machine learning in patients admitted with chest symptom
BACKGROUND: The early prediction of significant coronary artery lesion, including coronary vasospasm, have yet to be studied. It is essential to discern the disorders with significant coronary lesions (SCDs) requiring coronary angiography from mimicking disease. We aimed to determine which of all cl...
Autores principales: | Choi, Jae Young, Lee, Jae Hoon, Choi, Yuri, Hyon, YunKyong, Kim, Yong Hwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550076/ https://www.ncbi.nlm.nih.gov/pubmed/36215242 http://dx.doi.org/10.1371/journal.pone.0274416 |
Ejemplares similares
-
Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices
por: Kim, Yoonjoo, et al.
Publicado: (2023) -
Machine learning-based survival rate prediction of Korean hepatocellular carcinoma patients using multi-center data
por: Noh, Byeonggwan, et al.
Publicado: (2022) -
The coming era of a new auscultation system for analyzing respiratory sounds
por: Kim, Yoonjoo, et al.
Publicado: (2022) -
Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning
por: Kim, Yoonjoo, et al.
Publicado: (2021) -
Novel regional longitudinal strain by speckle tracking to detect significant coronary artery disease in patients admitted to the emergency department for chest pain suggestive of acute coronary syndrome
por: Norum, Ingvild Billehaug, et al.
Publicado: (2022)