Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trials.
Javier EscuderoJohn P. ZajicekEmmanuel C. IfeachorPublished in: EMBC (2011)
Keyphrases
- mild cognitive impairment
- clinical trials
- sample size
- normal controls
- machine learning
- high degree of accuracy
- ad patients
- experimental design
- model selection
- brain images
- classification accuracy
- early diagnosis
- eeg data
- feature set
- decision support system
- feature space
- medical images
- feature extraction
- disease progression
- imaging modalities
- feature selection
- decision trees
- extracted features
- upper bound
- computer aided diagnosis
- early detection
- worst case
- magnetic resonance imaging
- supervised learning
- eeg signals
- data mining
- independent component analysis
- support vector machine
- magnetic resonance images
- early stage
- high dimensionality
- empirical studies
- mr imaging