Estimating the Believability of Uncertain Data Inputs in Applications for Alzheimer's Disease Patients.
Fatma GhorbelFayçal HamdiElisabeth MétaisPublished in: NLDB (2019)
Keyphrases
- uncertain data
- early diagnosis
- medical doctors
- multiple sclerosis
- emergency department
- mining frequent itemsets
- patient groups
- uncertain databases
- probabilistic xml
- amyotrophic lateral sclerosis
- computer aided diagnosis
- probabilistic databases
- cardiovascular disease
- disease progression
- naive bayes classification
- data streams
- knowledge discovery
- chronic disease
- spatial query processing
- uncertain information
- uncertain data streams
- chronic obstructive pulmonary disease
- white matter
- frequent patterns
- probability distribution functions
- databases
- data sets
- clinical trials
- pattern mining