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An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.

J. Wang, J. Hom, S. Balasubramanian, A. Schuler, N. Shah, M. Goldstein, M. Baiocchi, and J. Chen. J. Biomed. Informatics, (2018)

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Alejandro Alfaro

In situ hybridization of the feline major satellite DNA FA-SAT in feline fibrosarcoma cell lines and feline fibrosarcoma tissue sectionsA. Alfaro. Uni Gießen, (2009)

Alejandro Aron

Alejandro Rosas

Alejandro Prada

Alejandro Vargas

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Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score.A. Schuler, D. Walsh, D. Hall, J. Walsh, and C. Fisher. CoRR, (2020)An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.J. Wang, J. Hom, S. Balasubramanian, A. Schuler, N. Shah, M. Goldstein, M. Baiocchi, and J. Chen. J. Biomed. Informatics, (2018)Discovering Patient Phenotypes Using Generalized Low Rank Models.A. Schuler, V. Liu, J. Wan, A. Callahan, M. Udell, D. Stark, and N. Shah. PSB, page 144-155. (2016)Operationally-Informed Hospital-Wide Discharge Prediction Using Machine Learning.A. Ward, A. Mann, J. Vallon, G. Escobar, N. Bambos, and A. Schuler. HealthCom, page 1-6. IEEE, (2020)Multivariate Probabilistic Regression with Natural Gradient Boosting.M. O'Malley, A. Sykulski, R. Lumpkin, and A. Schuler. CoRR, (2021)A novel propensity modeling approach to estimate the causal impact of acute organ dysfunction on long-term survival in sepsis.A. Schuler, D. Wulf, Y. Lu, J. Baker, G. Escobar, N. Shah, and V. Liu. CRI, AMIA, (2017)Integrating Evaluations of Predictive Algorithm-Driven Interventions into Clinical Workflows with the Dynamic Discontinuity Deployment Design.B. Marafino, A. Schuler, V. Liu, A. Owen, G. Escobar, and M. Baiocchi. AMIA, AMIA, (2021)Impact of Clinician Experience on Machine Learned Clinical Order Patterns.J. Wang, A. Schuler, N. Shah, and J. Chen. AMIA, AMIA, (2017)NGBoost: Natural Gradient Boosting for Probabilistic Prediction.T. Duan, A. Avati, D. Ding, K. Thai, S. Basu, A. Ng, and A. Schuler. ICML, volume 119 of Proceedings of Machine Learning Research, page 2690-2700. PMLR, (2020)

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Disambiguation of "Schuler, Alejandro"

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An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.

Please choose a person to relate this publication to

Alejandro Alfaro

Alejandro Aron

Alejandro Rosas

Alejandro Prada

Alejandro Vargas

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Schuler, Alejandro"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.

Please choose a person to relate this publication to

Alejandro Alfaro

Alejandro Aron

Alejandro Rosas

Alejandro Prada

Alejandro Vargas

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.