Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary.

[BibT_eX]

[DOI]

Stephen P. Fortin

Jenna Reps

Patrick B. Ryan

BMC Medical Informatics Decis. Mak., December, 2023

Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., December, 2023

Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes.

[BibT_eX]

[DOI]

J. Biomed. Informatics, September, 2023

Representing and utilizing clinical textual data for real world studies: An OHDSI approach.

[BibT_eX]

[DOI]

J. Biomed. Informatics, June, 2023

Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., April, 2023

A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2023

Ontologizing health systems data at scale: making translational discovery a reality.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2023

An Open-Source Knowledge Graph Ecosystem for the Life Sciences.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2022

Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary.

[BibT_eX]

[DOI]

Stephen P. Fortin

Jenna Reps

Patrick B. Ryan

BMC Medical Informatics Decis. Mak., 2022

PheValuator 2.0: Methodological improvements for the PheValuator approach to semi-automated phenotype algorithm evaluation.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2022

Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?

[BibT_eX]

[DOI]

Int. J. Medical Informatics, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Phenotyping in distributed data networks: selecting the right codes for the right patients.

[BibT_eX]

[DOI]

Anna Ostropolets

Patrick B. Ryan

George Hripcsak

Proceedings of the AMIA 2022, 2022

2021

An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2021

A conceptual framework for external validity.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2021

Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets.

[BibT_eX]

[DOI]

J. Big Data, 2021

From clinical trials to clinical practice: How long are drugs tested and then used by patients?

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2021

Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2021

Data Consult Service: Can we use observational data to address immediate clinical needs?

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2021

Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials.

[BibT_eX]

[DOI]

Mitchell S. V. Elkind

Chunhua Weng

J. Am. Medical Informatics Assoc., 2021

Increasing trust in real-world evidence through evaluation of observational data quality.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2021

PHenotype Observed Entity Baseline Endorsements (PHOEBE) - recommender system for concept selection in phenotype algorithm development.

[BibT_eX]

[DOI]

Anna Ostropolets

Patrick B. Ryan

George Hripcsak

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2020

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

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2020

Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND).

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2020

Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2020

How little data do we need for patient-level prediction?

[BibT_eX]

[DOI]

CoRR, 2020

Contemporary Use of Real World Data for Clinical Trial Conduct.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2020, 2020

Phenotype Concept Set Construction from Concept Pair Likelihoods.

[BibT_eX]

[DOI]

Victor Alfonso Rodriguez

Proceedings of the AMIA 2020, 2020

Characterization and Comparison of Embedding Algorithms for Phenotyping across a Network of Observational Databases.

[BibT_eX]

[DOI]

Victor Alfonso Rodriguez

Patrick B. Ryan

Karthik Natarajan

Proceedings of the AMIA 2020, 2020

Characterizing database granularity using SNOMED-CT hierarchy.

[BibT_eX]

[DOI]

Jitendra Jonnagaddala

Proceedings of the AMIA 2020, 2020

Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2020, 2020

2019

PheValuator: Development and evaluation of a phenotype algorithm evaluator.

[BibT_eX]

[DOI]

Joel N. Swerdel

George Hripcsak

Patrick B. Ryan

J. Biomed. Informatics, 2019

Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status.

[BibT_eX]

[DOI]

Jenna Marie Reps

Peter R. Rijnbeek

Patrick B. Ryan

J. Biomed. Informatics, 2019

Criteria2Query: a natural language interface to clinical databases for cohort definition.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2019

Challenges with quality of race and ethnicity data in observational databases.

[BibT_eX]

[DOI]

Fernanda C. Polubriaginof

Nicholas P. Tatonetti

David K. Vawdrey

J. Am. Medical Informatics Assoc., 2019

Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2019, 2019

2018

The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2018

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2018

Effect of vocabulary mapping for conditions on phenotype cohorts.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2018

Decentralized and reproducible geocoding and characterization of community and environmental exposures for multisite studies.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2018

Uncovering exposures responsible for birth season - disease effects: a global study.

[BibT_eX]

[DOI]

Phung-Anh (Alex) Nguyen

Nicholas P. Tatonetti

J. Am. Medical Informatics Assoc., 2018

Treatment Pathways in Patients with Cancer Using a Large-scale Observational Data Network.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2018, 2018

2017

Accuracy of an automated knowledge base for identifying drug adverse reactions.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2017

Procedure prediction from symbolic Electronic Health Records via time intervals analytics.

[BibT_eX]

[DOI]

Robert Moskovitch

Fernanda Polubriaginof

Aviram Weiss

Patrick B. Ryan

Nicholas P. Tatonetti

J. Biomed. Informatics, 2017

Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data.

[BibT_eX]

[DOI]

Nicholas P. Tatonetti

J. Biomed. Semant., 2017

The Impact of Censoring Drug Switching in Medication Adherence Measures of Chronic Single Ingredient Oral Drugs.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Criteria2Query: Automatically Transforming Clinical Research Eligibility Criteria Text to OMOP Common Data Model (CDM)-based Cohort Queries.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2017, 2017

From Large-Scale Network Analytics to Clinical Solutions in OHDSI.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2017, 2017

2016

Hierarchical models for multiple, rare outcomes using massive observational healthcare databases.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2016

GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2016

Multivariate analysis of the population representativeness of related clinical studies.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2016

The Applicability of an EHR Phenotype for Cohort Identification.

[BibT_eX]

[DOI]

Proceedings of the Summit on Clinical Research Informatics, 2016

Observational Health Data Sciences and Informatics (OHDSI): A Rapidly Growing International Network for Open Science and Data Analytics in Healthcare.

[BibT_eX]

[DOI]

Proceedings of the Summit on Clinical Research Informatics, 2016

Big Data for Healthcare and Life Sciences: Learning Useful Insights from Imperfect Data.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2016, 2016

Ensuring Reproducibility in Observational Research: Building and Sharing Knowledge Resources in the OHDSI Network.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2016, 2016

2015

Predicting health outcomes from high-dimensional longitudinal health histories using relational random forests.

[BibT_eX]

[DOI]

Zach Shahn

Patrick B. Ryan

David Madigan

Stat. Anal. Data Min., 2015

Feasibility and utility of applications of the common data model to multiple, disparate observational health databases.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2015

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

The Value of an Open-Source Observational Research Collaboratory: Results from the OHDSI Initiative.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2015, 2015

OHDSI: An Open-Source Platform for Observational Data Analytics and Collaborative Research.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2015, 2015

Simulation-based Evaluation of the Generalizability Index for Study Traits.

[BibT_eX]

[DOI]

Zhe He

Praveen Chandar Ravichandran

Patrick B. Ryan

Chunhua Weng

Proceedings of the AMIA 2015, 2015

2014

Big data, big results: Knowledge discovery in output from large-scale analytics.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2014

Transforming NHANES Database to the OMOP Common Data Model.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2014, 2014

2013

Massive Parallelization of Serial Inference Algorithms for a Complex Generalized Linear Model.

[BibT_eX]

[DOI]

ACM Trans. Model. Comput. Simul., 2013

Developing a Systematic Approach to Measure Medication Adherence.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2013, 2013

2012

Evaluation of alternative standardized terminologies for medical conditions within a network of observational healthcare databases.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2012

Validation of a common data model for active safety surveillance research.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2012

2010

Development and evaluation of a common data model enabling active drug safety surveillance using disparate healthcare databases.

[BibT_eX]

[DOI]

Stephanie J. Reisinger

J. Am. Medical Informatics Assoc., 2010

Patrick B. Ryan

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