Cargando…
Machine learning algorithms for predicting coronary artery disease: efforts toward an open source solution
AIM: The development of coronary artery disease (CAD), a highly prevalent disease worldwide, is influenced by several modifiable risk factors. Predictive models built using machine learning (ML) algorithms may assist clinicians in timely detection of CAD and may improve outcomes. MATERIALS & MET...
Autores principales: | Akella, Aravind, Akella, Sudheer |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Science Ltd
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147740/ https://www.ncbi.nlm.nih.gov/pubmed/34046201 http://dx.doi.org/10.2144/fsoa-2020-0206 |
Ejemplares similares
-
NetiNeti: discovery of scientific names from text using machine learning methods
por: Akella, Lakshmi Manohar, et al.
Publicado: (2012) -
Open source machine-learning algorithms for the prediction of optimal cancer drug therapies
por: Huang, Cai, et al.
Publicado: (2017) -
Machine learning algorithms for predicting mortality after coronary artery bypass grafting
por: Khalaji, Amirmohammad, et al.
Publicado: (2022) -
Coronary artery decision algorithm trained by two-step machine learning algorithm
por: Kim, Young Woo, et al.
Publicado: (2020) -
Machine learning algorithms to predict major bleeding after isolated coronary artery bypass grafting
por: Gao, Yuchen, et al.
Publicado: (2022)