On a simulated dataset of 180 patients, an interaction-aware logistic model using medication adherence as a contextual modifier raised recall of high-risk financial events during vulnerability windows from 0.7442 to 0.9070 while the financial-only baseline retained the highest overall F1.
Elec- tronics14(17), 3516 (2025)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Medication-Aware Financial Exploitation Detection for Alzheimer's Patients Using Edge-Aware Interaction Risk Modeling
On a simulated dataset of 180 patients, an interaction-aware logistic model using medication adherence as a contextual modifier raised recall of high-risk financial events during vulnerability windows from 0.7442 to 0.9070 while the financial-only baseline retained the highest overall F1.