Surgical scheduling via optimization and machine learning with long-tailed data
Published 2023 View Full Article
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Title
Surgical scheduling via optimization and machine learning with long-tailed data
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Keywords
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Journal
Health Care Management Science
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-09-04
DOI
10.1007/s10729-023-09649-0
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- (2021) Esmaeil Keyvanshokooh et al. PRODUCTION AND OPERATIONS MANAGEMENT
- A Comprehensive Review and Analysis of Operating Room and Surgery Scheduling
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- (2020) Karmel S. Shehadeh et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A Two-Level Optimization Model for Elective Surgery Scheduling with Downstream Capacity Constraints
- (2019) Jian Zhang et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay*
- (2018) Gary E. Weissman et al. CRITICAL CARE MEDICINE
- Operating room planning and surgical case scheduling: a review of literature
- (2018) Shuwan Zhu et al. JOURNAL OF COMBINATORIAL OPTIMIZATION
- A Novel Model Demonstrates Variation in Risk-Adjusted Mortality Across Pediatric Cardiac ICUs After Surgery
- (2018) Sarah Tabbutt et al. Pediatric Critical Care Medicine
- Two-stage robust optimization approach to elective surgery and downstream capacity planning
- (2017) Saba Neyshabouri et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network
- (2016) Pei-Fang (Jennifer) Tsai et al. Journal of Healthcare Engineering
- ICU physicians are unable to accurately predict length of stay at admission: a prospective study
- (2015) Antonio Paulo Nassar et al. INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE
- Neural Network Prediction of ICU Length of Stay Following Cardiac Surgery Based on Pre-Incision Variables
- (2015) Rocco J. LaFaro et al. PLoS One
- Master surgery scheduling with consideration of multiple downstream units
- (2014) Andreas Fügener et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Optimizing Intensive Care Unit Discharge Decisions with Patient Readmissions
- (2012) Carri W. Chan et al. OPERATIONS RESEARCH
- Predictors of Hospital Length of Stay in Heart Failure: Findings from Get With the Guidelines
- (2011) David J. Whellan et al. JOURNAL OF CARDIAC FAILURE
- A predictive model for the early identification of patients at risk for a prolonged intensive care unit length of stay
- (2010) Andrew A Kramer et al. BMC Medical Informatics and Decision Making
- Prediction Models for Prolonged Intensive Care Unit Stay After Cardiac Surgery
- (2010) Roelof G.A. Ettema et al. CIRCULATION
- Predicting the length of hospital stay of burn patients: Comparisons of prediction accuracy among different clinical stages
- (2010) Chin-Sheng Yang et al. DECISION SUPPORT SYSTEMS
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- A decision support system for cyclic master surgery scheduling with multiple objectives
- (2008) Jeroen Beliën et al. JOURNAL OF SCHEDULING
- Surgical case scheduling as a generalized job shop scheduling problem
- (2006) Dinh-Nguyen Pham et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
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