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A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making.

L. Zhang, L. Richter, Y. Wang, A. Ostropolets, N. Elhadad, D. Blei, and G. Hripcsak. CoRR, (2022)

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Heike Anna Brücker

Dirk Annacker

Thomas Annan

Carola Annas

John A Anna Selva

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Characterizing database granularity using SNOMED-CT hierarchy.A. Ostropolets, C. Reich, P. Ryan, C. Weng, A. Molinaro, F. DeFalco, J. Jonnagaddala, S. Liaw, H. Jeon, R. Park and 9 other author(s). AMIA, AMIA, (2020)A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time.A. Ostropolets, L. Zhang, and G. Hripcsak. J. Am. Medical Informatics Assoc., 27 (12): 1968-1976 (2020)Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study.A. Ostropolets, Y. Albogami, M. Conover, J. Banda, W. Jr., C. Blacketer, P. Desai, S. DuVall, S. Fortin, J. Gilbert and 28 other author(s). J. Am. Medical Informatics Assoc., 30 (5): 859-868 (April 2023)Phenotype Concept Set Construction from Concept Pair Likelihoods.V. Rodriguez, T. Sun, P. Thangaraj, C. Pang, K. Kalluri, X. Jiang, K. Natarajan, P. Ryan, A. Ostropolets, and R. Chen. AMIA, AMIA, (2020)The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records.L. Zhang, Y. Wang, A. Ostropolets, J. Mulgrave, D. Blei, and G. Hripcsak. MLHC, volume 106 of Proceedings of Machine Learning Research, page 490-512. PMLR, (2019)A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making.L. Zhang, L. Richter, Y. Wang, A. Ostropolets, N. Elhadad, D. Blei, and G. Hripcsak. CoRR, (2022)Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials.J. Kim, C. Ta, C. Liu, C. Sung, A. Butler, L. Stewart, L. Ena, J. Rogers, J. Lee, A. Ostropolets and 5 other author(s). J. Am. Medical Informatics Assoc., 28 (1): 14-22 (2021)What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization.G. Adams, B. Nguyen, J. Smith, Y. Xia, S. Xie, A. Ostropolets, B. Deb, Y. Chen, T. Naumann, and N. Elhadad. ACL (1), page 10520-10542. Association for Computational Linguistics, (2023)Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research.R. Chen, M. Schuemie, M. Suchard, A. Ostropolets, L. Zhang, P. Ryan, and G. Hripcsak. AMIA, AMIA, (2020)The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs).L. Zhang, Y. Wang, A. Ostropolets, J. Mulgrave, D. Blei, and G. Hripcsak. CoRR, (2019)

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Disambiguation of "Ostropolets, Anna"

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A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making.

Please choose a person to relate this publication to

Heike Anna Brücker

Dirk Annacker

Thomas Annan

Carola Annas

John A Anna Selva

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ostropolets, Anna"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making.

Please choose a person to relate this publication to

Heike Anna Brücker

Dirk Annacker

Thomas Annan

Carola Annas

John A Anna Selva

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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MSOffice XML

A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making.