Cargando…
Current applications of big data and machine learning in cardiology
Machine learning (ML) is a software solution with the ability of making predictions without prior explicit programming, aiding in the analysis of large amounts of data. These algorithms can be trained through supervised or unsupervised learning. Cardiology is one of the fields of medicine with the h...
Autores principales: | Cuocolo, Renato, Perillo, Teresa, De Rosa, Eliana, Ugga, Lorenzo, Petretta, Mario |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Science Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6748901/ https://www.ncbi.nlm.nih.gov/pubmed/31555327 http://dx.doi.org/10.11909/j.issn.1671-5411.2019.08.002 |
Ejemplares similares
-
Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis
por: Ugga, Lorenzo, et al.
Publicado: (2021) -
Current role of machine learning and radiogenomics in precision neuro-oncology
por: Perillo, Teresa, et al.
Publicado: (2023) -
Intruding implements: a pictorial review of retained surgical foreign objects in neuroradiology
por: D’Amico, Alessandra, et al.
Publicado: (2019) -
Machine learning applications in prostate cancer magnetic resonance imaging
por: Cuocolo, Renato, et al.
Publicado: (2019) -
Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning
por: Koçak, Burak, et al.
Publicado: (2023)