Litcius/Paper detail

Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers

Shaker El–Sappagh, Farman Ali, Tamer Abuhmed, Jaiteg Singh, José M. Alonso

2022Neurocomputing85 citationsDOI

Topics & Concepts

Computer scienceEnsemble learningArtificial intelligenceRandom forestMachine learningBoosting (machine learning)Ensemble forecastingSupport vector machineClassifier (UML)Random subspace methodAdaBoostMultilayer perceptronDecision treeConditional random fieldArtificial neural networkDementia and Cognitive Impairment ResearchTraditional Chinese Medicine StudiesMachine Learning in Healthcare
Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers | Litcius