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David M. Kent
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2020 – today
- 2024
- [j5]Keren Ladin
, John Cuddeback, O. Kenrik Duru, Sharad Goel
Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor. npj Digit. Medicine 7(1) (2024) - 2023
- [j4]Alexandros Rekkas
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases. npj Digit. Medicine 6 (2023) - [c3]Ethan Harvey, Wansu Chen, David M. Kent, Michael C. Hughes:
A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data. ML4H@NeurIPS 2023: 129-144 - [i2]Ethan Harvey, Wansu Chen, David M. Kent, Michael C. Hughes:
A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data. CoRR abs/2311.18025 (2023) - 2021
- [c2]Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories. MLHC 2021: 567-613 - [i1]Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes:
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories. CoRR abs/2105.00773 (2021) - 2020
- [j3]Sunyang Fu
Assessment of the impact of EHR heterogeneity for clinical research through a case study of silent brain infarction. BMC Medical Informatics Decis. Mak. 20(1): 60 (2020) - [j2]Jessica K. Paulus, David M. Kent
Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2018
- [c1]Sunyang Fu, Lester Y. Leung, Anne-Olivia Raulli, David F. Kallmes, Kristin A. Kinsman, Kristoff B. Nelson, Michael S. Clark, Patrick H. Luetmer, Paul R. Kingsbury, David M. Kent, Hongfang Liu:
Natural Language Processing for the Identification of Silent Brain Infractions from Neuroimaging Reports. AMIA 2018
2000 – 2009
- 2006
- [j1]Fuji Lai, Jean MacMillan, Denise H. Daudelin, David M. Kent:
The Potential of Training to Increase Acceptance and Use of Computerized Decision Support Systems for Medical Diagnosis. Hum. Factors 48(1): 95-108 (2006)
Coauthor Index
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last updated on 2024-12-15 02:18 CET by the dblp team
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