Anna Ostropolets
Orcid: 0000-0002-0847-6682
According to our database1,
Anna Ostropolets
authored at least 24 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
J. Biomed. Informatics, 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
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
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
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
Proceedings of the AMIA 2020, 2020
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