1.3k citations · 2.3k across the 88 of their papers we have counts for
8 papers · 1 filter
Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain
Christof Naumzik, Alice Kongsted, Werner Vach +1
Clinical data informs the personalization of health care with a potential for more effective disease management. In practice, this is achieved by subgrouping, whereby clusters with…
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models
Nicolas Banholzer, Thomas Mellan, H Juliette T Unwin +3
Short-term forecasts of infectious disease spread are a critical component in risk evaluation and public health decision making. While different models for short-term forecasting h…
Addressing distributional shifts in operations management: The case of order fulfillment in customized production
Julian Senoner, Bernhard Kratzwald, Milan Kuzmanovic +2
To meet order fulfillment targets, manufacturers seek to optimize production schedules. Machine learning can support this objective by predicting throughput times on production lin…
Predicting COVID-19 Spread from Large-Scale Mobility Data
Amray Schwabe, Joel Persson, Stefan Feuerriegel
To manage the COVID-19 epidemic effectively, decision-makers in public health need accurate forecasts of case numbers. A potential near real-time predictor of future case numbers i…
Modeling Longitudinal Dynamics of Comorbidities
Basil Maag, Stefan Feuerriegel, Mathias Kraus +2
In medicine, comorbidities refer to the presence of multiple, co-occurring diseases. Due to their co-occurring nature, the course of one comorbidity is often highly dependent on th…
Estimating Risk-Adjusted Hospital Performance
Eva van Weenen, Stefan Feuerriegel
The quality of healthcare provided by hospitals is subject to considerable variability. Consequently, accurate measurements of hospital performance are essential for various decisi…