Anna Ostropolets

Orcid: 0000-0002-0847-6682

According to our database1, Anna Ostropolets authored at least 23 papers between 2019 and 2024.

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Bibliography

2024
OHDSI Standardized Vocabularies - a large-scale centralized reference ontology for international data harmonization.
J. Am. Medical Informatics Assoc., February, 2024

2023
Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records.
J. Am. Medical Informatics Assoc., December, 2023

Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study.
J. Am. Medical Informatics Assoc., April, 2023

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease.
npj Digit. Medicine, 2023

Ontologizing health systems data at scale: making translational discovery a reality.
npj Digit. Medicine, 2023

A High-Fidelity Combined ATC-Rxnorm Drug Hierarchy for Large-Scale Observational Research.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making.
CoRR, 2022

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality.
CoRR, 2022

Phenotyping in distributed data networks: selecting the right codes for the right patients.
Proceedings of the AMIA 2022, 2022

2021
Data Consult Service: Can we use observational data to address immediate clinical needs?
J. Am. Medical Informatics Assoc., 2021

Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials.
J. Am. Medical Informatics Assoc., 2021

Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping.
Proceedings of the Public Health and Informatics, 2021

PHenotype Observed Entity Baseline Endorsements (PHOEBE) - recommender system for concept selection in phenotype algorithm development.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping.
J. Biomed. Informatics, 2020

A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time.
J. Am. Medical Informatics Assoc., 2020

The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures.
Proceedings of the AMIA 2020, 2020

Phenotype Concept Set Construction from Concept Pair Likelihoods.
Proceedings of the AMIA 2020, 2020


Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research.
Proceedings of the AMIA 2020, 2020

2019
The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs).
CoRR, 2019

The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Investigating female-male differences in risk factors for myocardial infarction using OHDSI tools.
Proceedings of the AMIA 2019, 2019


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