AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations
Finally this study makes an important contribution to the continuing discussion about the sustainability of healthcare for the elderly. The combination of AI-driven methodologies, the Fuzzy VIKOR technique and EHR data offers a promising approach to improving therapy selection in the setting of precision medicine. By accepting personalised healthcare recommendations, this study anticipates a future in which elderly people's unique characteristics and preferences are central to decision-making processes, maintaining not only better patient outcomes but also the long-term viability and sustainability of healthcare services for the elderly.
Authors
- Abeer Aljohani (ORCID: https://orcid.org/0000-0002-4164-4940)
Institutions
- Taibah University (SA)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1186/s12911-025-02953-5
- Citations
- 10
- Primary Topic
- Cognitive Science and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 24.81