Statistical analysis with missing data
Statistical analysis with missing data
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Artificial Intelligence
Robust Learning with Missing Data
Machine Learning
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Feature selection and feature extraction for text categorization
HLT '91 Proceedings of the workshop on Speech and Natural Language
Decision making under uncertainty using imprecise probabilities
International Journal of Approximate Reasoning
A survey of the theory of coherent lower previsions
International Journal of Approximate Reasoning
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
The Journal of Machine Learning Research
Multi-attribute utility analysis in set-based conceptual design
Computer-Aided Design
Towards the Early Diagnosis of Alzheimer's Disease via a Multicriteria Classification Model
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Meta-conformity approach to reliable classification
Intelligent Data Analysis
Credible classification for environmental problems
Environmental Modelling & Software
Graphical models for imprecise probabilities
International Journal of Approximate Reasoning
2-layer erroneous-plan recognition for dementia patients in smart homes
Healthcom'09 Proceedings of the 11th international conference on e-Health networking, applications and services
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
International Journal of Approximate Reasoning
Classification of dementia types from cognitive profiles data
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
An evidential network approach to support uncertain multiviewpoint abductive reasoning
Information Sciences: an International Journal
Stochastic dominance with imprecise information
Computational Statistics & Data Analysis
| Hi-index | 0.00 |
Dementia is a serious personal, medical and social problem. Recent research indicates early and accurate diagnoses as the key to effectively cope with it. No definitive cure is available but in some cases when the impairment is still mild the disease can be contained. This paper describes a diagnostic tool that jointly uses the naive credal classifier and the most widely used computerized system of cognitive tests in dementia research, the Cognitive Drug Research system. The naive credal classifier extends the discrete naive Bayes classifier to imprecise probabilities. The naive credal classifier models both prior ignorance and ignorance about the likelihood by sets of probability distributions. This is a new way to deal with small and incomplete datasets that departs significantly from most established classification methods. In the empirical study presented here, the naive credal classifier provides reliability and unmatched predictive performance. It delivers up to 95% correct predictions while being very robust with respect to the partial ignorance due to the largely incomplete data. The diagnostic tool also proves to be very effective in discriminating between Alzheimer's disease and dementia with Lewy bodies.