Nicholas A Ruiz, Sarah DuBrow, Vishnu P Murty
Agency as a bridge to form associative memories
Journal of experimental psychology. General
parkinsons disease pd agerelated neurodegenerative disorder characterized motor deficits including tremor rigidity bradykinesia postural instability according world health organization 1 global population diagnosed pd figure expected double 2040 early accurate diagnosis pd critical slowing progression disease reducing longterm disability due complexity disease difficult accurately diagnose using traditional clinical tests therefore become necessary develop intelligent diagnostic models accurately detect pd article introduces novel hybrid approach accurate prediction pd using anfis two optimizers namely adam pso anfis type fuzzy logic system used nonlinear function approximation classification adam optimizer ability adaptively adjust learning rate individual parameter anfis training step helps model find better solution quickly pso metaheuristic approach inspired behavior social animals birds combining two methods potential provide improved accuracy robustness pd diagnosis compared existing methods proposed method utilized advantages optimization techniques applied developed anfis model maximize prediction accuracy system developed using open access clinical demographic data chosen parameters anfis selected comparative experimental analysis optimize model considering number fuzzy membership functions number epochs anfis number particles pso performance two anfis models anfis adam anfis pso focusing anfis parameters various evaluation metrics analyzed detail presented experimental results showed proposed anfis pso shows better results terms loss precision whereas anfis adam showed better results terms accuracy f1score recall thus adaptive neuralfuzzy algorithm provides promising strategy diagnosis pd show proposed models show suitability many practical applications