Integrated Approach Using Intuitionistic Fuzzy Multicriteria Decision-Making to Support Classifier Selection for Technology Adoption in Patients with Parkinson Disease: Algorithm Development and Validation
The IF-AHP-IF-DEMATEL-CoCoSo approach helped to identify classification algorithms that do not just discriminate between good and bad adopters of assistive technologies within the Parkinson population but also consider technology-specific features like design, quality, and compatibility that make these classifiers easily implementable by clinicians in the health care system.
Authors
- Muhammet Gül (ORCID: https://orcid.org/0000-0002-5319-4289)
- Chris Nugent (ORCID: https://orcid.org/0000-0003-0882-7902)
- Miguel Ortíz‐Barrios (ORCID: https://orcid.org/0000-0001-6890-7547)
- Mark Donnelly (ORCID: https://orcid.org/0000-0003-1250-265X)
- Genett Jiménez‐Delgado (ORCID: https://orcid.org/0000-0003-1016-5805)
- Melih Yücesan (ORCID: https://orcid.org/0000-0001-6148-4959)
- Ian Cleland (ORCID: https://orcid.org/0000-0003-2368-7354)
- Stephany Lucia Madrid-Sierra (ORCID: https://orcid.org/0000-0001-8985-9329)
Institutions
- University of Ulster (GB)
- University of the Coast (CO)
- Munzur University (TR)
- Istanbul University (TR)
Publication Details
- Journal
- JMIR Rehabilitation and Assistive Technologies
- Published
- 2024-10-22
- DOI
- https://doi.org/10.2196/57940
- Citations
- 4
- Primary Topic
- Assistive Technology in Communication and Mobility
- Type
- article
- Field-Weighted Citation Impact
- 6.87
Funders
- European Commission