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2020 – today
- 2022
[j3]Erik T. Rosenstrom
, Sareh Meshkinfam, Julie Simmons Ivy, Shadi Hassani Goodarzi, Muge Capan, Jeanne Huddleston, Santiago Romero-Brufau:
Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model. Decis. Anal. 19(4): 265-296 (2022)- 2021
- [j2]Santiago Romero-Brufau, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston:
Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS). J. Am. Medical Informatics Assoc. 28(6): 1207-1215 (2021)
2010 – 2019
- 2018
- [c10]Santiago Romero-Brufau, Kim Gaines, Matthew G. Johnson, Joel Hickman, Terry M. Therneau, Jeanne Huddleston:
The Mayo Clinic Early Warning Score is superior to MEWS, and nursing pattern recognition can improve its accuracy further. AMIA 2018 - [c9]Santiago Romero-Brufau, Jordan Kautz, Kim Gaines, Curt Storlie, Matthew G. Johnson, Joel Hickman, Jeanne Huddleston:
Use of an early warning system with gradual alerting reduces time to therapy in acute inpatient deterioration. AMIA 2018 - [c8]Chen Lin, Yuan Zhang, Julie S. Ivy, Muge Capan, Ryan Arnold, Jeanne M. Huddleston, Min Chi:
Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM. ICHI 2018: 219-228 - [c7]Farzaneh Khoshnevisan, Julie S. Ivy, Muge Capan, Ryan Arnold, Jeanne Huddleston, Min Chi:
Recent Temporal Pattern Mining for Septic Shock Early Prediction. ICHI 2018: 229-240 - [c6]Nisha Nataraj, Julie S. Ivy, Jeanne Huddleston, Ryan Arnold, Muge Capan:
What's in a Definition? A simulation Framework for Modeling sepsis Interventions using Electronic Health Records. WSC 2018: 2483-2494 - 2017
- [c5]Yuan Zhang, Chen Lin, Min Chi, Julie S. Ivy, Muge Capan, Jeanne M. Huddleston:
LSTM for septic shock: Adding unreliable labels to reliable predictions. IEEE BigData 2017: 1233-1242 - [c4]Joseph Agor, Kendall McKenzie, Maria E. Mayorga, Osman Y. Özaltin, Riddhi S. Parikh, Jeanne Huddleston:
Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score. WSC 2017: 2881-2892 - 2016
- [j1]Asli Ozen, Yariv N. Marmor, Thomas Rohleder, Hari Balasubramanian, Jeanne Huddleston, Paul M. Huddleston:
Optimization and Simulation of Orthopedic Spine Surgery Cases at Mayo Clinic. Manuf. Serv. Oper. Manag. 18(1): 157-175 (2016) - [c3]Joseph Agor, Kendall McKenzie, Osman Y. Özaltin, Maria E. Mayorga, Riddhi S. Parikh, Jeanne Huddleston:
Simulation of triaging patients into an Internal Medicine Department to validate the use of an optimization based workload score. WSC 2016: 3708-3709 - 2014
- [c2]Narges Hosseini, M. Susan Hallbeck, Christopher Jankowski, Jeanne Huddleston, Amrit Kanwar, Kalyan S. Pasupathy:
Effect of Obesity and Clinical Factors on Pre-Incision Time: Study of Operating Room Workflow. AMIA 2014 - [c1]Robert W. Techentin, Jennifer St Sauver, Jeanne Huddleston, Barry K. Gilbert, David R. Holmes:
Lessons learned from the semantic translation of healthcare data. Healthcom 2014: 513-518
Coauthor Index
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