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Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.

S. Rossetti, C. Knaplund, D. Albers, A. Tariq, K. Tang, D. Vawdrey, N. Yip, P. Dykes, J. Klann, M. Kang, J. Garcia, L. heng Fu, K. Schnock, and K. Cato. AMIA, AMIA, (2019)

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David Albers

David J Lutz

David J Downs

David J Roy

-J David Lin

Other publications of authors with the same name

Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics.I. Urteaga, T. Bertin, T. Hardy, D. Albers, and N. Elhadad. MLHC, volume 106 of Proceedings of Machine Learning Research, page 66-90. PMLR, (2019)Personal Health Oracle: Explorations of Personalized Predictions in Diabetes Self-Management.P. Desai, E. Mitchell, M. Hwang, M. Levine, D. Albers, and L. Mamykina. CHI, page 370. ACM, (2019)Data assimilation of glucose dynamics for use in the intensive care unit.M. Sedigh-Sarvestani, D. Albers, and B. Gluckman. EMBC, page 5437-5440. IEEE, (2012)Using data assimilation to forecast post-meal glucose for patients with type 2 diabetes.D. Albers, M. Levine, A. Stuart, G. Hripcsak, and L. Mamykina. AMIA, AMIA, (2016)Comparing Lagged Linear Correlation, Lagged Regression, Granger Causality, and Vector Autoregression for Uncovering Associations in EHR Data.M. Levine, D. Albers, and G. Hripcsak. AMIA, AMIA, (2016)Approaches for using temporal and other filters for next generation phenotype discovery.D. Albers, A. Perotte, and G. Hripcsak. AMIA, AMIA, (2016)Model Selection For EHR Laboratory Tests Preserving Healthcare Context and Underlying Physiology.D. Albers, R. Pivovarov, J. Schmidt, N. Elhadad, and G. Hripcsak. AMIA, AMIA, (2015)Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting.D. Albers, M. Tuysuzoglu, M. Levine, C. Nigoghossian, A. Stuart, J. Claassen, B. Gluckman, and G. Hripcsak. AMIA, AMIA, (2020)A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation.Y. Wang, J. Stroh, G. Hripcsak, C. Wang, T. Bennett, J. Wrobel, C. Nigoghossian, S. Mueller, J. Claassen, and D. Albers. J. Biomed. Informatics, (December 2023)Exploiting time in electronic health record correlations.G. Hripcsak, D. Albers, and A. Perotte. JAMIA, 18 (Supplement): 109-115 (2011)

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Disambiguation of "Albers, David J."

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Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.

Please choose a person to relate this publication to

David Albers

David J Lutz

David J Downs

David J Roy

-J David Lin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Albers, David J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.

Please choose a person to relate this publication to

David Albers

David J Lutz

David J Downs

David J Roy

-J David Lin

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
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Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.