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Jeeheh Oh

Showing results (1-10 of 8) with videos related to

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Proceedings of Machine Learning Research|July 24, 2025
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer NetworksJeeheh Oh, Jiaxuan Wang, Jenna Wiens
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|July 17, 2025
Learning Credible ModelsJiaxuan Wang, Jeeheh Oh, Haozhu Wang, et al.
Open Forum Infectious Diseases|May 30, 2019
Using Machine Learning and the Electronic Health Record to Predict Complicated <i>Clostridium difficile</i> InfectionBenjamin Y Li, Jeeheh Oh, Vincent B Young, et al.
Infection Control and Hospital Epidemiology|April 23, 2023
<i>Clostridioides difficile</i> infection surveillance in intensive care units and oncology wards using machine learningErkin Ötleş, Emily A Balczewski, Micah Keidan, et al.
Proceedings of Machine Learning Research|May 29, 2026
Mind the Performance Gap: Examining Dataset Shift During Prospective ValidationErkin Ötleş, Jeeheh Oh, Benjamin Li, et al.
Infection Control and Hospital Epidemiology|December 19, 2022
Prospective evaluation of data-driven models to predict daily risk of <i>Clostridioides difficile</i> infection at 2 large academic health centers - ERRATUMMeghana Kamineni, Erkin Ötleş, Jeeheh Oh, et al.
Infection Control and Hospital Epidemiology|September 19, 2022
Prospective evaluation of data-driven models to predict daily risk of <i>Clostridioides difficile</i> infection at 2 large academic health centersMeghana Kamineni, Erkin Ötleş, Jeeheh Oh, et al.
Infection Control and Hospital Epidemiology|March 27, 2018
A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health CentersJeeheh Oh, Maggie Makar, Christopher Fusco, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Proceedings of Machine Learning Research|July 24, 2025
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer NetworksJeeheh Oh, Jiaxuan Wang, Jenna Wiens
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|July 17, 2025
Learning Credible ModelsJiaxuan Wang, Jeeheh Oh, Haozhu Wang, et al.
Open Forum Infectious Diseases|May 30, 2019
Using Machine Learning and the Electronic Health Record to Predict Complicated <i>Clostridium difficile</i> InfectionBenjamin Y Li, Jeeheh Oh, Vincent B Young, et al.
Infection Control and Hospital Epidemiology|April 23, 2023
<i>Clostridioides difficile</i> infection surveillance in intensive care units and oncology wards using machine learningErkin Ötleş, Emily A Balczewski, Micah Keidan, et al.
Proceedings of Machine Learning Research|May 29, 2026
Mind the Performance Gap: Examining Dataset Shift During Prospective ValidationErkin Ötleş, Jeeheh Oh, Benjamin Li, et al.
Infection Control and Hospital Epidemiology|December 19, 2022
Prospective evaluation of data-driven models to predict daily risk of <i>Clostridioides difficile</i> infection at 2 large academic health centers - ERRATUMMeghana Kamineni, Erkin Ötleş, Jeeheh Oh, et al.
Infection Control and Hospital Epidemiology|September 19, 2022
Prospective evaluation of data-driven models to predict daily risk of <i>Clostridioides difficile</i> infection at 2 large academic health centersMeghana Kamineni, Erkin Ötleş, Jeeheh Oh, et al.
Infection Control and Hospital Epidemiology|March 27, 2018
A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health CentersJeeheh Oh, Maggie Makar, Christopher Fusco, et al.
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