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Nathan Brajer

Showing results (1-10 of 6) with videos related to

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NPJ Digital Medicine|March 29, 2020
Presenting machine learning model information to clinical end users with model facts labelsMark P Sendak, Michael Gao, Nathan Brajer, et al.
Journal of Medical Internet Research|November 19, 2020
Integrating a Machine Learning System Into Clinical Workflows: Qualitative StudySahil Sandhu, Anthony L Lin, Nathan Brajer, et al.
Medical Physics|December 22, 2022
Towards optimal deep fusion of imaging and clinical data via a model-based description of fusion qualityYuqi Wang, Xiang Li, Meghana Konanur, et al.
JAMA Network Open|February 8, 2020
Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of AdmissionNathan Brajer, Brian Cozzi, Michael Gao, et al.
JAMIA Open|August 1, 2020
Machine learning for early detection of sepsis: an internal and temporal validation studyArmando D Bedoya, Joseph Futoma, Meredith E Clement, et al.
JMIR Medical Informatics|July 17, 2020
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation StudyMark P Sendak, William Ratliff, Dina Sarro, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
NPJ Digital Medicine|March 29, 2020
Presenting machine learning model information to clinical end users with model facts labelsMark P Sendak, Michael Gao, Nathan Brajer, et al.
Journal of Medical Internet Research|November 19, 2020
Integrating a Machine Learning System Into Clinical Workflows: Qualitative StudySahil Sandhu, Anthony L Lin, Nathan Brajer, et al.
Medical Physics|December 22, 2022
Towards optimal deep fusion of imaging and clinical data via a model-based description of fusion qualityYuqi Wang, Xiang Li, Meghana Konanur, et al.
JAMA Network Open|February 8, 2020
Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of AdmissionNathan Brajer, Brian Cozzi, Michael Gao, et al.
JAMIA Open|August 1, 2020
Machine learning for early detection of sepsis: an internal and temporal validation studyArmando D Bedoya, Joseph Futoma, Meredith E Clement, et al.
JMIR Medical Informatics|July 17, 2020
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation StudyMark P Sendak, William Ratliff, Dina Sarro, et al.
Pageof 1