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Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories.

G. Visani, A. Lee, C. Nguyen, D. Kent, J. Wong, J. Cohen, and M. Hughes. MLHC, volume 149 of Proceedings of Machine Learning Research, page 567-613. PMLR, (2021)

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Siegfried Kent

Kent Kwee

Kent Curtis

Kent Rottschäfer

David M Eche

Other publications of authors with the same name

Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities.J. Paulus, and D. Kent. npj Digit. Medicine, (2020)Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories.G. Visani, A. Lee, C. Nguyen, D. Kent, J. Wong, J. Cohen, and M. Hughes. MLHC, volume 149 of Proceedings of Machine Learning Research, page 567-613. PMLR, (2021)Three simple rules to ensure reasonably credible subgroup analyses.J. Burke, J. Sussman, D. Kent, and R. Hayward. BMJ (Clinical research ed.), (January 2015)Comparacions múltiples; Anàlisi de subgrups; Mètodes bayessians.Assessment of the impact of EHR heterogeneity for clinical research through a case study of silent brain infarction.S. Fu, L. Leung, A. Raulli, D. Kallmes, K. Kinsman, K. Nelson, M. Clark, P. Luetmer, P. Kingsbury, D. Kent and 1 other author(s). BMC Medical Informatics Decis. Mak., 20 (1): 60 (2020)A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data.E. Harvey, W. Chen, D. Kent, and M. Hughes. ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 129-144. PMLR, (2023)Natural Language Processing for the Identification of Silent Brain Infractions from Neuroimaging Reports.S. Fu, L. Leung, A. Raulli, D. Kallmes, K. Kinsman, K. Nelson, M. Clark, P. Luetmer, P. Kingsbury, D. Kent and 1 other author(s). AMIA, AMIA, (2018)A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases.A. Rekkas, D. van Klaveren, P. Ryan, E. Steyerberg, D. Kent, and P. Rijnbeek. npj Digit. Medicine, (2023)The Potential of Training to Increase Acceptance and Use of Computerized Decision Support Systems for Medical Diagnosis.F. Lai, J. MacMillan, D. Daudelin, and D. Kent. Hum. Factors, 48 (1): 95-108 (2006)

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Disambiguation of "Kent, David M."

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Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories.

Please choose a person to relate this publication to

Siegfried Kent

Kent Kwee

Kent Curtis

Kent Rottschäfer

David M Eche

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kent, David M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories.

Please choose a person to relate this publication to

Siegfried Kent

Kent Kwee

Kent Curtis

Kent Rottschäfer

David M Eche

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories.