Attention-based MIL fuses irregular smartwatch activity, sleep, and ECG HRV data to predict discretized changes in handgrip strength and FACIT-F with balanced accuracies of 0.59-0.70 under LOSO evaluation.
Cella,Manual of the Functional Assessment of Chronic Illness Ther- apy (F ACIT) Measurement System, Ver
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Frailty Estimation in Elderly Oncology Patients Using Multimodal Wearable Data and Multi-Instance Learning
Attention-based MIL fuses irregular smartwatch activity, sleep, and ECG HRV data to predict discretized changes in handgrip strength and FACIT-F with balanced accuracies of 0.59-0.70 under LOSO evaluation.