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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations

Abeer Aljohani
10 citations
BMC Medical Informatics and Decision Making
Cognitive Science and Mapping
24.81
article

AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations

Abeer Aljohani
article en
10 citations

Abstract

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.

BMC Medical Informatics and Decision MakingVol. 25(1)
Taibah University (SA)
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Cognitive Science and Mapping
24.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.