재정 지원 요구사항을 통해 공개된 자료 - Sarah Jabbour자세히 알아보기
제공된 곳이 있음: 5
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
S Jabbour, D Fouhey, E Kazerooni, M Sjoding, J Wiens
Machine Learning for Healthcare, 2020
재정 지원 요구사항 정책: US National Science Foundation, US National Institutes of Health
Respecting Autonomy And Enabling Diversity: The Effect Of Eligibility And Enrollment On Research Data Demographics
S Jabbour, K Spector-Bagdady, S Tang, WN Price, A Bracic, MS Creary, ...
Health Affairs 40 (12), 1892-1899, 2021
재정 지원 요구사항 정책: US National Science Foundation, US National Institutes of Health, Patient …
Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure
S Jabbour, D Fouhey, E Kazerooni, J Wiens, MW Sjoding
Journal of the American Medical Informatics Association 29 (6), 1060-1068, 2022
재정 지원 요구사항 정책: US National Institutes of Health
Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration
E Mu, S Jabbour, AV Dalca, J Guttag, J Wiens, MW Sjoding
Plos one 17 (2), e0263922, 2022
재정 지원 요구사항 정책: US National Institutes of Health
Learning concept credible models for mitigating shortcuts
J Wang, S Jabbour, M Makar, M Sjoding, J Wiens
Advances in neural information processing systems 35, 33343-33356, 2022
재정 지원 요구사항 정책: US National Science Foundation, US National Institutes of Health
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