Copertina

Prediction of Hospital Associated Infections During Continuous Hospital Stays

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Datta, Rituparna, Kamruzzaman, Methun, Klein, Eili Y., Madden, Gregory R, Deng, Xinwei, Vullikanti, Anil, Bhattacharya, Parantapa
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CALYPSO: Forecasting and Analyzing MRSA Infection Patterns with Community and Healthcare Transmission Dynamics
di: Datta, Rituparna, et al.
Pubblicazione: (2025)

Improving Hospital Risk Prediction with Knowledge-Augmented Multimodal EHR Modeling
di: Datta, Rituparna, et al.
Pubblicazione: (2025)

Agentic Framework for Epidemiological Modeling
di: Datta, Rituparna, et al.
Pubblicazione: (2026)

Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework
di: Guan, Zihan, et al.
Pubblicazione: (2026)

An Effective Approach for Node Classification in Textual Graphs
di: Datta, Rituparna, et al.
Pubblicazione: (2025)

Differentially Private Densest Subgraph Detection
di: Nguyen, Dung, et al.
Pubblicazione: (2021)

Comparing Federated Stochastic Gradient Descent and Federated Averaging for Predicting Hospital Length of Stay
di: Balik, Mehmet Yigit
Pubblicazione: (2024)

Differentially Private and Scalable Estimation of the Network Principal Component
di: Khayatian, Alireza, et al.
Pubblicazione: (2025)

Machine Learning and Statistical Insights into Hospital Stay Durations: The Italian EHR Case
di: Andric, Marina, et al.
Pubblicazione: (2025)

Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model
di: Neshat, Mehdi, et al.
Pubblicazione: (2024)

Contrastive Explainable Clustering with Differential Privacy
di: Nguyen, Dung, et al.
Pubblicazione: (2024)

Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
di: Guan, Zihan, et al.
Pubblicazione: (2025)

UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
di: Guan, Zihan, et al.
Pubblicazione: (2024)

Explainable Admission-Level Predictive Modeling for Prolonged Hospital Stay in Elderly Populations: Challenges in Low- and Middle-Income Countries
di: Sierra-Botero, Daniel, et al.
Pubblicazione: (2026)

PipeFill: Using GPUs During Bubbles in Pipeline-parallel LLM Training
di: Arfeen, Daiyaan, et al.
Pubblicazione: (2024)

Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
di: Hu, Annie, et al.
Pubblicazione: (2024)

Federated Continual Learning for Privacy-Preserving Hospital Imaging Classification
di: Sinhal, Anay, et al.
Pubblicazione: (2026)

Temporal Data Requirement for Predicting Unplanned Hospital Readmissions
di: Mohammadi, Ramin, et al.
Pubblicazione: (2026)

Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs
di: Kamruzzaman, Mahammed, et al.
Pubblicazione: (2024)

Learning the Topology and Behavior of Discrete Dynamical Systems
di: Qiu, Zirou, et al.
Pubblicazione: (2024)

Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
di: Qiu, Zirou, et al.
Pubblicazione: (2024)

Prediction of Respiratory Syncytial Virus-Associated Hospitalizations Using Machine Learning Models Based on Environmental Data
di: Guo, Eric
Pubblicazione: (2025)

To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning
di: Sadrtdinov, Ildus, et al.
Pubblicazione: (2023)

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion
di: Wang, Han, et al.
Pubblicazione: (2025)

Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality
di: Shumilov, Arseniy, et al.
Pubblicazione: (2024)

Sample Complexity of Linear Regression Models for Opinion Formation in Networks
di: Liu, Haolin, et al.
Pubblicazione: (2023)

Explainable AI for Infection Prevention and Control: Modeling CPE Acquisition and Patient Outcomes in an Irish Hospital with Transformers
di: Pham, Minh-Khoi, et al.
Pubblicazione: (2025)

Predicting Elevated Risk of Hospitalization Following Emergency Department Discharges
di: Hong, Dat, et al.
Pubblicazione: (2024)

Bridging Graph and State-Space Modeling for Intensive Care Unit Length of Stay Prediction
di: Zi, Shuqi, et al.
Pubblicazione: (2025)

Improving Epidemic Analyses with Privacy-Preserving Integration of Sensitive Data
di: Guan, Zihan, et al.
Pubblicazione: (2025)

Patient Outcome Predictions Improve Operations at a Large Hospital Network
di: Na, Liangyuan, et al.
Pubblicazione: (2023)

An Integrated Framework for Explainable, Fair, and Observable Hospital Readmission Prediction: Development and Validation on MIMIC-IV
di: Adisa, Isaac Tosin
Pubblicazione: (2026)

Large Language Models Lack Temporal Awareness of Medical Knowledge
di: Guan, Zihan, et al.
Pubblicazione: (2026)

Invariant Probabilistic Prediction
di: Henzi, Alexander, et al.
Pubblicazione: (2023)

Doubly Robust Proximal Causal Learning for Continuous Treatments
di: Wu, Yong, et al.
Pubblicazione: (2023)

Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories
di: Barnes, Thea, et al.
Pubblicazione: (2024)

Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model
di: Li, Xintao, et al.
Pubblicazione: (2024)

A Kalman Filter Based Framework for Monitoring the Performance of In-Hospital Mortality Prediction Models Over Time
di: Liu, Jiacheng, et al.
Pubblicazione: (2024)

Early Warning Index for Patient Deteriorations in Hospitals
di: Bertsimas, Dimitris, et al.
Pubblicazione: (2025)

Towards Practical Multimodal Hospital Outbreak Detection
di: Liu, Chang, et al.
Pubblicazione: (2026)