DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning
DeMMO is proposed, an interpretable framework for longitudinal, multi-disease, and multi-outcome learning that infers signed relations directly from learned longitudinal DMO-outcome mappings, thereby enabling selective information sharing across cohorts without requiring paired participants.
Menghui Zhou, Zhipeng Yuan, V. Lanfranchi et al.
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