A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients.
Milos AjcevicAleksandar MiladinovicGiulia SilveriGiovanni FurlanisTommaso CillottoAlex Buoite StellaPaola CarusoMaja UkmarMarcello NaccaratoAlfredo CuzzocreaPaolo ManganottiAgostino AccardoPublished in: ICCSA (1) (2020)
Keyphrases
- bayesian framework
- big data
- prior knowledge
- predictive modeling
- data management
- posterior probability
- cloud computing
- data processing
- big data analytics
- data analysis
- gaussian process
- ischemic stroke
- generative model
- social media
- business intelligence
- posterior distribution
- bayesian formulation
- maximum a posteriori
- gaussian process models
- expectation maximization
- knowledge discovery
- image segmentation
- vast amounts of data
- data science
- decision support
- data warehousing
- clinical data
- bayesian model
- massive datasets
- image processing
- database
- information processing
- data model
- data mining