Imagen de Portada

Patient Outcome Predictions Improve Operations at a Large Hospital Network

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Na, Liangyuan, Carballo, Kimberly Villalobos, Pauphilet, Jean, Haddad-Sisakht, Ali, Kombert, Daniel, Boisjoli-Langlois, Melissa, Castiglione, Andrew, Khalifa, Maram, Hebbal, Pooja, Stein, Barry, Bertsimas, Dimitris
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

TabText: Language-Based Representations of Tabular Health Data for Predictive Modelling
por: Carballo, Kimberly Villalobos, et al.
Publicado: (2022)

Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance
por: Bertsimas, Dimitris, et al.
Publicado: (2021)

Adaptive Optimization for Prediction with Missing Data
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Prescribe-then-Select: Adaptive Policy Selection for Contextual Stochastic Optimization
por: Iglesias, Caio de Prospero, et al.
Publicado: (2025)

A new perspective on low-rank optimization
por: Bertsimas, Dimitris, et al.
Publicado: (2021)

Sparse Classification: a scalable discrete optimization perspective
por: Bertsimas, Dimitris, et al.
Publicado: (2017)

A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Disjunctive Branch-and-Bound for Certifiably Optimal Low-Rank Matrix Completion
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Algorithmic Insurance
por: Bertsimas, Dimitris, et al.
Publicado: (2021)

Should We Relax Stability in Matching Markets?
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

Global Optimization via Optimal Decision Trees
por: Bertsimas, Dimitris, et al.
Publicado: (2022)

Global Optimization: A Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Catastrophe Insurance: An Adaptive Robust Optimization Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Binary Classification: Is Boosting stronger than Bagging?
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

From Data to Uncertainty Sets: a Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

Overfitting in Adaptive Robust Optimization
por: Zhu, Karl, et al.
Publicado: (2025)

Robust and Adaptive Optimization under a Large Language Model Lens
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Adaptive Forests For Classification
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

Robust Regression over Averaged Uncertainty
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

M3H: Multimodal Multitask Machine Learning for Healthcare
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Solving Large‐Scale Weapon Target Assignment Problems in Seconds Using Branch‐Price‐And‐Cut
por: Dimitris Bertsimas, et al.
Publicado: (2025)

A Retrospective Study of the Relationship Between Blood Transfusion and 30-Day Postoperative Outcomes in Patients Undergoing Isolated Off-Pump Coronary Artery Bypass Grafting
por: Liangyuan Lu
Publicado: (2022)

A Machine Learning Approach to Two-Stage Adaptive Robust Optimization
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items
por: Pauphilet, Jean
Publicado: (2021)

Improved Approximation Algorithms for Orthogonally Constrained Problems Using Semidefinite Optimization
por: Cory-Wright, Ryan, et al.
Publicado: (2025)

Compressed Sensing: A Discrete Optimization Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Interpretable AI-driven Guidelines for Type 2 Diabetes Treatment from Observational Data
por: Agarwal, Dewang Kumar, et al.
Publicado: (2025)

Multimodal Prescriptive Deep Learning
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning
por: Margaritis, Georgios, et al.
Publicado: (2025)

A novel exact approach to polynomial optimization
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

Holistic Artificial Intelligence in Medicine; improved performance and explainability
por: Petridis, Periklis, et al.
Publicado: (2025)

Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

Simultaneous Cesarean Section and Maternal Cardiac Surgery: Outcomes and Feasibility from a Tertiary Care Hospital in India
por: Pooja Sikka
Publicado: (2023)

On Arratia's coupling and the Dirichlet law for the factors of a random integer
por: Haddad, Tony, et al.
Publicado: (2024)

Las alianzas público privadas y su rol en la modernización de la infraestructura costarricense
por: Federico Villalobos Carballo
Publicado: (2015)