Cargando…
DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types
BACKGROUND: Breast cancer is a collection of multiple tissue pathologies, each with a distinct molecular signature that correlates with patient prognosis and response to therapy. Accurately differentiating between breast cancer sub-types is an important part of clinical decision-making. Although thi...
Autores principales: | Beykikhoshk, Adham, Quinn, Thomas P., Lee, Samuel C., Tran, Truyen, Venkatesh, Svetha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038647/ https://www.ncbi.nlm.nih.gov/pubmed/32093737 http://dx.doi.org/10.1186/s12920-020-0658-5 |
Ejemplares similares
-
Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome
por: Le, Vuong, et al.
Publicado: (2020) -
Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data
por: Gopakumar, Shivapratap, et al.
Publicado: (2016) -
Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records
por: Karmakar, Chandan, et al.
Publicado: (2016) -
Screening for post 32-week preterm birth risk: how helpful is routine perinatal data collection?
por: Luo, Wei, et al.
Publicado: (2016) -
Consistency of the Health of the Nation Outcome Scales (HoNOS) at inpatient-to-community transition
por: Luo, Wei, et al.
Publicado: (2016)