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Insights from a machine learning model for predicting the hospital Length of Stay (LOS) at the time of admission

Expert systems with applications, 2017-07, Vol.78, p.376-385

2017

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A mixed-ensemble model for hospital readmission

Artificial intelligence in medicine, 2016-09, Vol.72, p.72-82

2016

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A new methodology for sensitivity and stability analysis of analytic network models

European journal of operational research, 2013-01, Vol.224 (1), p.180-188

2013

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Using Conditional Restricted Boltzmann Machines to Model Complex Consumer Shopping Patterns

Marketing science (Providence, R.I.), 2019-07, Vol.38 (4), p.711-727

2019

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Large-Scale No-Show Patterns and Distributions for Clinic Operational Research

Healthcare (Basel), 2016-02, Vol.4 (1), p.15

2016

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Firm-level outsourcing decision making: A balanced scorecard-based analytic network process model

International journal of production economics, 2014-01, Vol.147, p.614-623

2014

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Predictive analytics model for healthcare planning and scheduling

European journal of operational research, 2016-08, Vol.253 (1), p.121-131

2016

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The Surgical Scheduling Problem: Current Research and Future Opportunities

Production and operations management, 2011-05, Vol.20 (3), p.392-405

2011

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Determining an optimal hierarchical forecasting model based on the characteristics of the data set: Technical note

Journal of operations management, 2016-05, Vol.44 (1), p.62-68

2016

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Multi-dimensional stability analysis for Analytic Network Process models

Annals of operations research, 2022-09, Vol.316 (2), p.1401-1424

2022

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The effect of cancelled appointments on outpatient clinic operations

European journal of operational research, 2020-08, Vol.284 (3), p.847-860

2020

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Task Interdependence and Firm Performance in Outsourced Service Operations

Manufacturing & service operations management, 2019-07, Vol.21 (3), p.658-673

2019

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An analysis of the sensitivity and stability of patients’ preferences can lead to more appropriate medical decisions

Annals of operations research, 2020-10, Vol.293 (2), p.863-901

2020

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A Personalized Approach of Patient–Health Care Provider Communication Regarding Colorectal Cancer Screening Options

Medical decision making, 2018-07, Vol.38 (5), p.601-613

2018

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Modeling Patient No-Show History and Predicting Future Outpatient Appointment Behavior in the Veterans Health Administration

Military medicine, 2017-05, Vol.182 (5), p.e1708-e1714

2017

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Implications of the stability analysis of preferences for personalised colorectal cancer screening

Journal of multi-criteria decision analysis, 2022-05, Vol.29 (3-4), p.244-258

2022

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MyVA Access: An Evaluation of Changes in Access for a System-Wide Program Implemented in the Veterans Health Administration

American journal of medical quality, 2019-05, Vol.34 (3), p.266-275

2019

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Classifying highly imbalanced ICU data

Health care management science, 2013-06, Vol.16 (2), p.119-128

2013

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An optimization-based approach for the design of Bayesian networks

Mathematical and computer modelling, 2008-10, Vol.48 (7), p.1265-1278

2008

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Targeted Advertising Strategies on Television

Management science, 2006-05, Vol.52 (5), p.713-725

2006

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Evaluating and Tuning Predictive Data Mining Models Using Receiver Operating Characteristic Curves

Journal of management information systems, 2004-12, Vol.21 (3), p.249-280

2004

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Surgeon and type of anesthesia predict variability in surgical procedure times

Anesthesiology (Philadelphia), 2000-05, Vol.92 (5), p.1454-1466

2000

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On prioritizing on-time arrivals in an outpatient clinic

IISE transactions on healthcare systems engineering, 2017-04, Vol.7 (2), p.93-106

2017

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An exact test of the accuracy of binary classification models based on the probability distribution of the average rank

Mathematical and computer modelling, 2009-10, Vol.50 (7), p.975-983

2009

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Estimating procedure times for surgeries by determining location parameters for the lognormal model

Health care management science, 2004-05, Vol.7 (2), p.97-104

2004

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Insights from a machine learning model for predicting the hospital Length of Stay (LOS) at the time of admission

A mixed-ensemble model for hospital readmission

A new methodology for sensitivity and stability analysis of analytic network models

Using Conditional Restricted Boltzmann Machines to Model Complex Consumer Shopping Patterns

Large-Scale No-Show Patterns and Distributions for Clinic Operational Research

Firm-level outsourcing decision making: A balanced scorecard-based analytic network process model

Predictive analytics model for healthcare planning and scheduling

The Surgical Scheduling Problem: Current Research and Future Opportunities

Determining an optimal hierarchical forecasting model based on the characteristics of the data set: Technical note

Multi-dimensional stability analysis for Analytic Network Process models

The effect of cancelled appointments on outpatient clinic operations

Task Interdependence and Firm Performance in Outsourced Service Operations

An analysis of the sensitivity and stability of patients’ preferences can lead to more appropriate medical decisions

A Personalized Approach of Patient–Health Care Provider Communication Regarding Colorectal Cancer Screening Options

Modeling Patient No-Show History and Predicting Future Outpatient Appointment Behavior in the Veterans Health Administration

Implications of the stability analysis of preferences for personalised colorectal cancer screening

MyVA Access: An Evaluation of Changes in Access for a System-Wide Program Implemented in the Veterans Health Administration

Classifying highly imbalanced ICU data

An optimization-based approach for the design of Bayesian networks

Targeted Advertising Strategies on Television

Evaluating and Tuning Predictive Data Mining Models Using Receiver Operating Characteristic Curves

Surgeon and type of anesthesia predict variability in surgical procedure times

On prioritizing on-time arrivals in an outpatient clinic

An exact test of the accuracy of binary classification models based on the probability distribution of the average rank

Estimating procedure times for surgeries by determining location parameters for the lognormal model

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