OtherJMIR rehabilitation and assistive technologies2024
Integrated Approach Using Intuitionistic Fuzzy Multicriteria Decision-Making to Support Classifier Selection for Technology Adoption in Patients with Parkinson Disease: Algorithm Development and Validation.
Miguel Ortiz-Barrios, Ian Cleland, Mark Donnelly, Muhammet Gul, Melih Yucesan, Genett Isabel Jiménez-Delgado, Chris Nugent, Stephany Madrid-Sierra
PMID 39437387WHAT IT FOUND
This paper describes a mathematical algorithm for selecting machine learning classifiers to predict assistive technology adoption in Parkinson's disease.
It reports no clinical outcomes, patient data, or therapeutic interventions, so there is nothing here to change your practice on.
What this paper is
This paper describes a mathematical algorithm for selecting machine learning classifiers to predict assistive technology adoption in Parkinson's disease. It reports no clinical outcomes, patient data, or therapeutic interventions, so there is nothing here to change your practice on.