10 citations · 13 across the 4 of their papers we have counts for
5 papers
Multi-center Medical Data Mining with FL-Net - A One-stop Shop for Federated Learning
Simon Süwer, Julian Klemm, Elisa Acitelli +39
Federated learning enables collaborative training without sharing patient-level data, but most studies remain simulations. Based on five requirements derived from the literature, w…
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…
Stress-testing the Resilience of the Austrian Healthcare System Using Agent-Based Simulation
Michaela Kaleta, Jana Lasser, Elma Dervic +6
Patients do not access physicians at random but rather via naturally emerging networks of patient flows between them. As retirements, mass quarantines and absence due to sickness d…
Identification of gatekeeper diseases on the way to cardiovascular mortality
Nils Haug, Stefan Thurner, Alexandra Kautzky-Willer +2
Multimorbidity, the co-occurrence of two or more chronic diseases such as diabetes, obesity or cardiovascular diseases in one patient, is a frequent phenomenon. To make care more e…
Quantifying age- and gender-related diabetes comorbidity risks using nation-wide big claims data
Peter Klimek, Alexandra Kautzky-Willer, Anna Chmiel +2
Currently emerging "big data" techniques are reshaping medical science into a data science. Medical claims data allow assessing an entire nation's health state in a quantitative wa…