Cargando…
A database for using machine learning and data mining techniques for coronary artery disease diagnosis
We present the coronary artery disease (CAD) database, a comprehensive resource, comprising 126 papers and 68 datasets relevant to CAD diagnosis, extracted from the scientific literature from 1992 and 2018. These data were collected to help advance research on CAD-related machine learning and data m...
Autores principales: | Alizadehsani, R., Roshanzamir, M., Abdar, M., Beykikhoshk, A., Khosravi, A., Panahiazar, M., Koohestani, A., Khozeimeh, F., Nahavandi, S., Sarrafzadegan, N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811630/ https://www.ncbi.nlm.nih.gov/pubmed/31645559 http://dx.doi.org/10.1038/s41597-019-0206-3 |
Ejemplares similares
-
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
por: Alizadehsani, Roohallah, et al.
Publicado: (2021) -
An open database on global coal and metal mine production
por: Jasansky, Simon, et al.
Publicado: (2023) -
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
por: Sharifrazi, Danial, et al.
Publicado: (2021) -
Factors associated with mortality in hospitalized cardiovascular disease patients infected with COVID‐19
por: Alizadehsani, Roohallah, et al.
Publicado: (2022) -
Building the European Social Innovation Database with Natural Language Processing and Machine Learning
por: Gök, Abdullah, et al.
Publicado: (2022)