Jeanne Huddleston

According to our database, Jeanne Huddleston authored at least 13 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2022

2021

Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS).

Santiago Romero-Brufau, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston

J. Am. Medical Informatics Assoc., 2021

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

Proceedings of the 2018 Winter Simulation Conference, 2018

Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM.

Chen Lin, Yuan Zhang, Julie S. Ivy, Muge Capan, Ryan Arnold, Jeanne M. Huddleston, Min Chi

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Recent Temporal Pattern Mining for Septic Shock Early Prediction.

Farzaneh Khoshnevisan, Julie S. Ivy, Muge Capan, Ryan Arnold, Jeanne Huddleston, Min Chi

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Use of an early warning system with gradual alerting reduces time to therapy in acute inpatient deterioration.

Santiago Romero-Brufau, Jordan Kautz, Kim Gaines, Curt Storlie, Matthew G. Johnson, Joel Hickman, Jeanne Huddleston

Proceedings of the AMIA 2018, 2018

The Mayo Clinic Early Warning Score is superior to MEWS, and nursing pattern recognition can improve its accuracy further.

Santiago Romero-Brufau, Kim Gaines, Matthew G. Johnson, Joel Hickman, Terry M. Therneau, Jeanne Huddleston

Proceedings of the AMIA 2018, 2018

2017

Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score.

Joseph Agor, Kendall McKenzie, Maria E. Mayorga, Osman Y. Özaltin, Riddhi S. Parikh, Jeanne Huddleston

Proceedings of the 2017 Winter Simulation Conference, 2017

LSTM for septic shock: Adding unreliable labels to reliable predictions.

Yuan Zhang, Chen Lin, Min Chi, Julie S. Ivy, Muge Capan, Jeanne M. Huddleston

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Optimization and Simulation of Orthopedic Spine Surgery Cases at Mayo Clinic.

Asli Ozen, Yariv N. Marmor, Thomas Rohleder, Hari Balasubramanian, Jeanne Huddleston, Paul M. Huddleston

Manuf. Serv. Oper. Manag., 2016

Simulation of triaging patients into an Internal Medicine Department to validate the use of an optimization based workload score.

Joseph Agor, Kendall McKenzie, Osman Y. Özaltin, Maria E. Mayorga, Riddhi S. Parikh, Jeanne Huddleston

Proceedings of the Winter Simulation Conference, 2016

2014

Lessons learned from the semantic translation of healthcare data.

Robert W. Techentin, Jennifer St Sauver, Jeanne Huddleston, Barry K. Gilbert, David R. Holmes

Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014

Effect of Obesity and Clinical Factors on Pre-Incision Time: Study of Operating Room Workflow.

Narges Hosseini, M. Susan Hallbeck, Christopher Jankowski, Jeanne Huddleston, Amrit Kanwar, Kalyan S. Pasupathy

Proceedings of the AMIA 2014, 2014