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Classification of resting-state fMRI for olfactory dysfunction in parkinson's disease using evolutionary algorithms
Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18
Accurate early diagnosis and monitoring of neurodegenerative conditions is essential for effective disease management and treatment. This research develops automatic methods for detecting brain imaging preclinical biomarkers for olfactory dysfunction in early stage Parkinson's disease (PD) by considering the novel application of evolutionary algorithms. Classification will be applied to PD patients with severe hyposmia, patients with no/mild hyposmia, and healthy controls. An additional noveldoi:10.1145/3205651.3205681 dblp:conf/gecco/DehsarviS18 fatcat:gs4s4p2oybcktkor4l2uzq7i7y