E. Minty

发表

Characterizing database granularity using SNOMED-CT hierarchy

Rae Woong Park, Andrew E. Williams, S. Liaw, 2020, AMIA.

Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

Ross D. Williams, P. Ryan, A. Callahan, 2019, BMC Medical Research Methodology.

Development and validation of patient-level prediction models for adverse outcomes following total knee arthroplasty

P. Ryan, S. Pfohl, A. Prats-Uribe, 2020, medRxiv.

Think global, act local: Medical students contextualize global health education

J. Schaefer, E. Minty, Russell A Lam, 2014, Education for health.

Myelin water measurement in the spinal cord

Thorarin A Bjarnason, Cornelia Laule, Alex L MacKay, 2009, Magnetic resonance in medicine.

Best of intent, worst of both worlds: why sequentially combining epidemiological designs does not improve signal detection in vaccine safety surveillance

M. Suchard, M. Schuemie, G. Hripcsak, 2022, medRxiv.

Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS

Jason A. Thomas, Andrew E. Williams, M. Suchard, 2022, Clinical epidemiology.

Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS

Andrew E. Williams, M. Suchard, N. Shah, 2021, Research square.

Vaccine Safety Surveillance Using Routinely Collected Healthcare Data—An Empirical Evaluation of Epidemiological Designs

M. Suchard, M. Schuemie, N. Pratt, 2021, Frontiers in Pharmacology.

Bias, Precision and Timeliness of Historical (Background) Rate Comparison Methods for Vaccine Safety Monitoring: An Empirical Multi-Database Analysis

M. Suchard, M. Schuemie, N. Pratt, 2021, Frontiers in Pharmacology.

Multinational Patterns of Second-line Anti-hyperglycemic Drug Initiation Across Cardiovascular Risk Groups: A Federated Pharmacoepidemiologic Evaluation in LEGEND-T2DM

M. Schuemie, N. Pratt, D. Dorr, 2022, medRxiv.

COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries

M. Suchard, N. Shah, J. Jonnagaddala, 2021, Rheumatology.

Clinical characteristics, symptoms, management and health outcomes in 8,598 pregnant women diagnosed with COVID-19 compared to 27,510 with seasonal influenza in France, Spain and the US: a network cohort analysis

M. Suchard, N. Shah, J. Jonnagaddala, 2020, medRxiv.

Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study

Spiros C. Denaxas, M. Suchard, P. Ryan, 2022, Drug Safety.

Characteristics and outcomes of COVID-19 patients with and without asthma from the United States, South Korea, and Europe

M. Suchard, N. Shah, K. Verhamme, 2022, The Journal of asthma : official journal of the Association for the Care of Asthma.

Characteristics, outcomes, and mortality amongst 133,589 patients with prevalent autoimmune diseases diagnosed with, and 48,418 hospitalised for COVID-19: a multinational distributed network cohort analysis

M. Suchard, N. Shah, J. Jonnagaddala, 2020, medRxiv.

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

M. Suchard, W. Baumgartner, N. Pratt, 2023, J. Am. Medical Informatics Assoc..

A Meta-Data Manifesto: The Need for Global Health Meta-Data

Steve Hodges, Tom Walter Eitelhuber, James Thackray, 2018, International journal of population data science.

Shifting perceptions: a pre-post study to assess the impact of a senior resident rotation bundle

Gabriel E. Fabreau, Jean E. Wallace, Adriane M. Lewin, 2013, BMC medical education.

We need to work differently in a crisis: peer-professional leadership to redesign physicians’ work

Gabriel E. Fabreau, J. Woiceshyn, S. Pendharkar, 2021, BMJ Leader.

Using the wisdom of the crowds to find critical errors in biomedical ontologies: a study of SNOMED CT

Mark A Musen, Jonathan M Mortensen, Alan L Rector, 2015, J. Am. Medical Informatics Assoc..

Learning statistical models of phenotypes using noisy labeled training data

Nigam H. Shah, Juan M. Banda, Tanya Podchiyska, 2016, J. Am. Medical Informatics Assoc..

Description of a Multi-faceted COVID-19 Pandemic Physician Workforce Plan at a Multi-site Academic Health System

Gabriel E. Fabreau, K. Zarnke, S. Pendharkar, 2021, Journal of General Internal Medicine.

Characterization of long-term patient-reported symptoms of COVID-19: an analysis of social media data

J. Jonnagaddala, V. Huser, K. Fister, 2021, medRxiv.

Visualization of the IMIA Yearbook of Medical Informatics Publications over the Last 25 Years

D W Yergens, H Tam-Tham, E P Minty, 2016, Yearbook of Medical Informatics.

Medical students’ attitudes towards treating patients with HIV: A 12-year follow-up study

J. Schaefer, E. Minty, Russell A Lam, 2012, Medical Teacher.

Development and initial implementation of electronic clinical decision supports for recognition and management of hospital-acquired acute kidney injury

Evan Minty, Neesh Pannu, Barry Baylis, 2020, BMC Medical Informatics and Decision Making.

Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study

Spiros C. Denaxas, A. Butte, M. Suchard, 2023, eClinicalMedicine.

Preventative Sensor-Based Remote Monitoring of the Diabetic Foot in Clinical Practice

Breanne Everett, Emily Bray, E. Minty, 2023, Sensors.

Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM

M. Suchard, M. Schuemie, G. Hripcsak, 2023, BMJ medicine.

Serially Combining Epidemiological Designs Does Not Improve Overall Signal Detection in Vaccine Safety Surveillance

M. Suchard, M. Schuemie, G. Hripcsak, 2023, Drug Safety.