Cargando…
Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers
BACKGROUND: Predictive patient stratification is greatly emerging, because it allows us to prospectively identify which patients will benefit from what interventions before their condition worsens. In the biomedical research, a number of stratification methods have been successfully applied and have...
Autores principales: | Giang, Thanh-Trung, Nguyen, Thanh-Phuong, Tran, Dang-Hung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296686/ https://www.ncbi.nlm.nih.gov/pubmed/32546157 http://dx.doi.org/10.1186/s12911-020-01140-y |
Ejemplares similares
-
Fast and interpretable genomic data analysis using multiple approximate kernel learning
por: Bektaş, Ayyüce Begüm, et al.
Publicado: (2022) -
The Effects of One-Point Mutation on the New Delhi Metallo Beta-Lactamase-1 Resistance toward Carbapenem Antibiotics and β-Lactamase Inhibitors: An In Silico Systematic Approach
por: Tran, Van-Thanh, et al.
Publicado: (2022) -
A case report of mesenteric involvement in neurofibromatosis type 1
por: Sang, Nguyen Van, et al.
Publicado: (2022) -
Evaluation of the Luminex xTAG Respiratory Viral Panel FAST v2 assay for detection of multiple respiratory viral pathogens in nasal and throat swabs in Vietnam
por: Thi Ty Hang, Vu, et al.
Publicado: (2018) -
Explaining Consumers' Intention for Traceable Pork regarding Animal Disease: The Role of Food Safety Concern, Risk Perception, Trust, and Habit
por: Dang, Huy Duc, et al.
Publicado: (2020)