Cargando…
Inside the “black box”: Embedding clinical knowledge in data-driven machine learning for heart disease diagnosis
BACKGROUND: Ischemic heart disease (IHD) caused by the narrowing of coronary arteries is a major cause of morbidity and mortality worldwide. Clinical diagnosis involves complex, costly, and potentially invasive procedures. OBJECTIVE: To address this problem, we introduce a novel clinical knowledge-e...
Autores principales: | Meng, James, Xing, Ruiming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795264/ https://www.ncbi.nlm.nih.gov/pubmed/36589311 http://dx.doi.org/10.1016/j.cvdhj.2022.10.005 |
Ejemplares similares
-
Peering inside the black box of AI
por: Ornes, Stephen
Publicado: (2023) -
Inside the “Black Box” of a Knowledge Translation Program in Applied Health Research
por: Heaton, Janet, et al.
Publicado: (2015) -
Wishful Thinking? Inside the Black Box of Exposure Assessment
por: Money, Annemarie, et al.
Publicado: (2016) -
Inside the Black Box: What Makes SELEX Better?
por: Komarova, Natalia, et al.
Publicado: (2019) -
Predictive Risk Modelling to Prevent Child Maltreatment and Other Adverse Outcomes for Service Users: Inside the ‘Black Box’ of Machine Learning
por: Gillingham, Philip
Publicado: (2016)