Cover Image

Deriving Duration Time from Occupancy Data -- A case study in the length of stay in Intensive Care Units for COVID-19 patients

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rave, Martje, Kauermann, Göran
Format:	Preprint
Published:	2025
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Skellam Distribution revisited -Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany
by: Rave, Martje, et al.
Published: (2023)

Categorising the World into Local Climate Zones -- Towards Quantifying Labelling Uncertainty for Machine Learning Models
by: Hechinger, Katharina, et al.
Published: (2023)

Assessing Reporting Delays in ACLED Conflict Event Data
by: Razakason, Faniry A., et al.
Published: (2026)

Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty
by: Hechinger, Katharina, et al.
Published: (2023)

Analyzing the factors that are involved in length of inpatient stay at the hospital for diabetes patients
by: Lam, Jorden, et al.
Published: (2024)

Capturing Aleatoric Uncertainty in Climate Models
by: Gruber, Cornelia, et al.
Published: (2026)

Data-Driven Bed Capacity Planning Using $M_t/G_t/\infty$ Queueing Models with an Application to Neonatal Intensive Care Units
by: Akbari-Moghaddam, Maryam, et al.
Published: (2025)

A context-specific causal model for estimating the effect of extended length of overnight stay on traveller's total expenditure
by: Valkonen, Lauri, et al.
Published: (2026)

COVID-19 incidence in the Republic of Ireland: A case study for network-based time series models
by: Armbruster, Stephanie, et al.
Published: (2023)

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
by: Plecko, Drago, et al.
Published: (2025)

Domain Generalization and Adaptation in Intensive Care with Anchor Regression
by: Londschien, Malte, et al.
Published: (2025)

A GARMA Framework for Unit-Bounded Time Series Based on the Unit-Lindley Distribution with Application to Renewable Energy Data
by: Pumi, Guilherme, et al.
Published: (2025)

Scaling Hawkes processes to one million COVID-19 cases
by: Ko, Seyoon, et al.
Published: (2024)

Investigating symptom duration using current status data: a case study of post-acute COVID-19 syndrome
by: Wolock, Charles J., et al.
Published: (2024)

Spatio-temporal Occupancy Models with INLA
by: Belmont, Jafet, et al.
Published: (2024)

Cluster-weighted modeling of lifetime hierarchical data for profiling COVID-19 heart failure patients
by: Caldera, Luca, et al.
Published: (2025)

Two-step interpretable modeling of Intensive Care Acquired Infections
by: Lancia, Giacomo, et al.
Published: (2023)

Study Duration Prediction for Clinical Trials with Time-to-Event Endpoints Using Mixture Distributions Accounting for Heterogeneous Population
by: Zhang, Hong, et al.
Published: (2023)

Integrating Response Time and Attention Duration in Bayesian Preference Learning for Multiple Criteria Decision Aiding
by: Jiang, Jiaxuan, et al.
Published: (2025)

A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
by: Yu, Mingyan, et al.
Published: (2024)

Design of a robotic system to assist in the treatment of severe COVID‐19 patients
by: Hoang T. Tran, et al.
Published: (2024)

Pelagic Larval Duration and Isolation by Distance in Coastal Species
by: Atal Saha, et al.
Published: (2025)

Should I stay, or should I go: Anthropogenic noises disrupt early recruitment of subarctic invertebrates
by: Nathália Byrro Gauthier, et al.
Published: (2025)

Uncover mortality patterns and hospital effects in COVID-19 heart failure patients: a novel Multilevel logistic cluster-weighted modeling approach
by: Caldera, Luca, et al.
Published: (2024)

Evaluating the Impact of COVID-19 on Transportation Infrastructure Funding
by: Gao, Lu, et al.
Published: (2026)

COVID-19 Forecasting from U.S. Wastewater Surveillance Data: A Retrospective Multi-Model Study (2022-2024)
by: Alhassan, Faharudeen, et al.
Published: (2025)

Open-source data pipeline for street-view images: a case study on community mobility during COVID-19 pandemic
by: Martell, Matthew, et al.
Published: (2024)

Contrasting pre-vaccine COVID-19 waves in Italy through Functional Data Analysis
by: Boschi, Tobia, et al.
Published: (2023)

Evaluating the effectiveness of public policies on COVID-19 containment: A PSM-DID approach
by: Wang, Zihan
Published: (2024)

Time Series Analysis in American Stock Market Recovering in Post COVID-19 Pandemic Period
by: Fu, Weilin, et al.
Published: (2022)

Comparative Study of the Median Based Unit Rayleigh and its Generalized Form the Generalized Odd Median Based Unit Rayleigh
by: Attia, Iman Mohammed
Published: (2025)

Inferring Mobility of Care Travel Behavior From Transit Origin-Destination Data
by: Abdelhalim, Awad, et al.
Published: (2022)

Pandemic model with data-driven phase detection, a study using COVID-19 data
by: Liu, Yuansan, et al.
Published: (2021)

Robust learning of staged tree models: A case study in evaluating transport services
by: Leonelli, Manuele, et al.
Published: (2024)

Development of COVID-19 Booster Vaccine Policy by Microsimulation and Q-learning
by: Ma, Guoxuan, et al.
Published: (2024)

Cancer mortality projection: disparities, COVID-19, and late diagnosis impact
by: Arik, A., et al.
Published: (2024)

On Level Crossings and Fade Durations in von Mises-Fisher Scattering Channels
by: Turbic, Kenan, et al.
Published: (2025)

Hierarchical Semi-Markov Models with Duration-Aware Dynamics for Activity Sequences
by: Dube, Rohit, et al.
Published: (2025)

Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women
by: Ajirak, Marzieh, et al.
Published: (2020)

PoPStat-COVID19: Leveraging Population Pyramids to Quantify Demographic Vulnerability to COVID-19
by: Wijenayake, Buddhi, et al.
Published: (2025)