Automatic detection of Alzheimer's disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers.
Shaker H. Ali El-SappaghFarman AliTamer AbuhmedJaiteg SinghJosé Maria AlonsoPublished in: Neurocomputing (2022)
Keyphrases
- automatic detection
- information fusion
- ensemble classifier
- fusion method
- disease progression
- data fusion
- soft computing
- concept drift
- support vector machine
- cross sectional
- classification models
- ensemble learning
- prostate cancer
- decision support system
- clinical trials
- genetic programming
- breast cancer
- data sets
- feature vectors
- pattern recognition
- preprocessing step
- decision trees
- image processing
- learning algorithm