most citedUnraveling cradle-to-grave disease trajectories from multilayer comorbidity networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

physics.med-ph2023★ 2 cited

Unraveling cradle-to-grave disease trajectories from multilayer comorbidity networks

Elma Dervić, Johannes Sorger, Liuhuaying Yang +5

We aim to comprehensively identify typical life-spanning trajectories and critical events that impact patients' hospital utilization and mortality. We use a unique dataset containi…