Marginally monotonic maintenance policies for a multi-state deteriorating machine with probabilistic monitoring, and silent failures. - Julie S. Ivy; Stephen M. Pollock (IEEE Trans. Reliab., 2005)

A simulation-based approach for inventory modeling of perishable pharmaceuticals. - Ana R. Vila-Parrish; Julie Simmons Ivy; Russell E. King (WSC, 2008)

Assessing Dynamic Breast Cancer Screening Policies. - Lisa M. Maillart; Julie Simmons Ivy; Scott Ransom; Kathleen M. Diehl (Oper. Res., 2008)

Introduction to Modeling and Generating Probabilistic Input Processes for Simulation. - Michael E. Kuhl; Emily K. Lada; Mary Ann Flanigan Wagner; Julie Simmons Ivy; Natalie M. Steiger; James R. Wilson (WSC, 2009)

Simulating Public Health Emergency Response: A Case Study of the 2004 North Carolina State Fair E. Coli Outbreak. - Sharolyn Wynter; Julie Simmons Ivy (WSC, 2009)

Cost-effectiveness analysis of vaccination and self-isolation in case of H1N1. - Hamed Yarmand; Julie S. Ivy; Stephen D. Roberts; Mary W. Bengtson; Neal M. Bengtson (WSC, 2010)

Univariate input models for stochastic simulation. - Michael E. Kuhl; Julie Simmons Ivy; Emily K. Lada; Natalie M. Steiger; Mary Ann Flanigan Wagner; James R. Wilson (J. Simulation, 2010)

Capacity management and patient scheduling in an outpatient clinic using discrete event simulation. - Gokce Akin; Julie S. Ivy; Todd R. Huschka; Thomas Rohleder; Yariv N. Marmor (WSC, 2013)

Combined DES/SD simulaton model of breast cancer screening for older women: An overview. - Jeremy J. Tejada; Kathleen M. Diehl; Julie Simmons Ivy; James R. Wilson; Russell E. King; Matthew J. Ballan; Michael G. Kay; Bonnie C. Yankaskas (WSC, 2013)

Analytic solution of the susceptible-infective epidemic model with state-dependent contact rates and different intervention policies. - Hamed Yarmand; Julie S. Ivy (Simul., 2013)

Optimal intervention strategies for an epidemic: A household view. - Hamed Yarmand; Julie S. Ivy (Simul., 2013)

Identifying optimal mitigation strategies for responding to a mild influenza epidemic. - Hamed Yarmand; Julie S. Ivy; Stephen D. Roberts (Simul., 2013)

A framework for modeling the complex interaction between breast cancer and diabetes. - Shadi Hassani Goodarzi; Kendall McKenzie; Nisha Nataraj; Julie S. Ivy; Maria E. Mayorga; Jennifer E. Mason; Jeremy J. Tejada (WSC, 2014)

Simulation of labor: a study of the relationship between cesarean section rates and the time spent in labor. - Karen Hicklin; Julie S. Ivy; Evan R. Myers; Vidyadhar G. Kulkarni; Meera Viswanathan (WSC, 2014)

Assessing the reliability of the radiation therapy care delivery process using discrete event simulation. - Pegah Pooya; Julie S. Ivy; Lukasz Mazur; Katharin Deschesne; Prithima Mosaly; Gregg Tracton; Nishant Singh (WSC, 2014)

Optimal two-phase vaccine allocation to geographically different regions under uncertainty. - Hamed Yarmand; Julie S. Ivy; Brian T. Denton; Alun L. Lloyd (Eur. J. Oper. Res., 2014)

Using percentile matching to simulate labor progression and the effect of labor duration on birth complications. - Karen Hicklin; Julie S. Ivy; James R. Wilson; Evan R. Myers (WSC, 2015)

Understanding the evolution of mathematics performance in primary education and the implications for STEM learning: A Markovian approach. - Amy Craig Reamer; Julie S. Ivy; Anita R. Vila-Parrish; Robert E. Young (Comput. Hum. Behav., 2015)

LSTM for septic shock: Adding unreliable labels to reliable predictions. - Yuan Zhang 028; Chen Lin; Min Chi; Julie S. Ivy; Muge Capan; Jeanne M. Huddleston (IEEE BigData, 2017)

Case Article - A Prescription for Budget Woes at Gracious University Hospital. - Karen Hicklin; Julie S. Ivy; Anita R. Vila-Parrish (INFORMS Trans. Educ., 2017)

Case - A Prescription for Budget Woes at Gracious University Hospital. - Karen Hicklin; Julie S. Ivy; Anita R. Vila-Parrish (INFORMS Trans. Educ., 2017)

Recent Temporal Pattern Mining for Septic Shock Early Prediction. - Farzaneh Khoshnevisan; Julie S. Ivy; Muge Capan; Ryan Arnold; Jeanne Huddleston; Min Chi (ICHI, 2018)

Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM. - Chen Lin; Yuan Zhang 028; Julie S. Ivy; Muge Capan; Ryan Arnold; Jeanne M. Huddleston; Min Chi (ICHI, 2018)

What's in a Definition? A simulation Framework for Modeling sepsis Interventions using Electronic Health Records. - Nisha Nataraj; Julie S. Ivy; Jeanne Huddleston; Ryan Arnold; Muge Capan (WSC, 2018)

Robust optimization approaches for the equitable and effective distribution of donated food. - Irem Sengul Orgut; Julie S. Ivy; Reha Uzsoy; Charlie Hale (Eur. J. Oper. Res., 2018)

Simulating Uncertainty of Early Warning Scores in Sepsis Detection. - Ali Jazayeri; Muge Capan; Christopher C. Yang; Siddhartha Nambiar; Maria E. Mayorga; Julie S. Ivy; Ryan Arnold (BCB, 2019)

Multi-layer Facial Representation Learning for Early Prediction of Septic Shock. - Chen Lin; Julie S. Ivy; Min Chi (IEEE BigData, 2019)

Time-aware Adversarial Networks for Adapting Disease Progression Modeling. - Yuan Zhang 028; Xi Yang 019; Julie S. Ivy; Min Chi (ICHI, 2019)

ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling. - Yuan Zhang 028; Xi Yang 019; Julie S. Ivy; Min Chi (IJCAI, 2019)

The Effect of the Distribution of the Inverse Growth Rate on Pancreatic Cancer Progression. - Lena Abu-El-Haija; Julie S. Ivy; Osman Y. Özaltin; Walter Park (WSC, 2019)

The value of missing information in severity of illness score development. - Joseph Agor; Osman Y. Özaltin; Julie S. Ivy; Muge Capan; Ryan Arnold; Santiago Romero-Brufau (J. Biomed. Informatics, 2019)

Evaluating Diabetic Retinopathy Screening Interventions in a Microsimulation Model. - Breanna P. Swan; Siddhartha Nambiar; Priscille Koutouan; Maria E. Mayorga; Julie S. Ivy; Edward P. Fitts; Stephen Fransen (WSC, 2020)

Data to Donations: Towards In-Kind Food Donation Prediction across Two Coasts. - Esha Sharma; Lauren B. Davis; Julie S. Ivy; Min Chi (GHTC, 2021)

High-Quality Masks Reduce Covid-19 Infections and Death in the US. - Erik T. Rosenstrom; Julie S. Ivy; Maria E. Mayorga; Julie L. Swann; Buse Eylul Oruc; Pinar Keskinocak; Nathaniel Hupert (WSC, 2021)

Proximity of Cellular and Physiological Response Failures in Sepsis. - Ali Jazayeri; Muge Capan; Julie S. Ivy; Ryan Arnold; Christopher C. Yang (IEEE J. Biomed. Health Informatics, 2021)

An Approach to Population Synthesis of Engineering Students for Understanding Dropout Risk. - Danika Dorris; Julie S. Ivy; Julie L. Swann (WSC, 2022)

Could Earlier Availability of Boosters and Pediatric Vaccines Have Reduced Impact of COVID-19? - Erik T. Rosenstrom; Julie S. Ivy; Maria E. Mayorga; Julie L. Swann (WSC, 2022)

Modeling the role of efficiency for the equitable and effective distribution of donated food. - Md Hafizul Islam; Julie Simmons Ivy (OR Spectr., 2022)

The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions - A Case Study on the Microvascular Complications of Diabetes. - Breanna P. Swan; Maria E. Mayorga; Julie S. Ivy (IEEE J. Biomed. Health Informatics, 2022)

Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model. - Erik T. Rosenstrom; Sareh Meshkinfam; Julie Simmons Ivy; Shadi Hassani Goodarzi; Muge Capan; Jeanne Huddleston; Santiago Romero-Brufau (Decis. Anal., 2022)

Multi-Criteria Simulation Optimization for COVID-19 Testing In Schools. - Yiwei Zhang; Maria E. Mayorga; Julie S. Ivy; Julie L. Swann (WSC, 2023)