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omopgenerics - Methods and Classes for the OMOP Common Data Model

Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.

Last updated

10.19 score 26 dependents 424 scripts 3.2k downloads

PatientProfiles - Identify Characteristics of Patients in the OMOP Common Data Model

Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.

Last updated

9.81 score 2 stars 14 dependents 356 scripts 1.5k downloads

CohortCharacteristics - Summarise and Visualise Characteristics of Patients in the OMOP CDM

Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).

Last updated

8.55 score 3 stars 2 dependents 240 scripts 1.1k downloads

DrugUtilisation - Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model

Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.

Last updated

7.99 score 1 stars 2 dependents 210 scripts 1.1k downloads

OmopViewer - Visualise OMOP Results using 'shiny' Applications

Visualise results obtained from analysing data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model using 'shiny' applications.

Last updated

7.39 score 3 stars 32 scripts 340 downloads

OmopConstructor - Build Tables in the OMOP Common Data Model

Provides functionality to construct standardised tables from health care data formatted according to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. The package includes tools to build key tables such as observation period and drug era, among others.

Last updated

5.47 score 1 stars 14 scripts 413 downloads

OmopIndices - Patient-Level Indices from the OMOP Common Data Model

Provides tools to derive standardised, reproducible patient-level indices and covariates from Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) databases. Functions calculate comorbidity and frailty scores, including the Charlson Comorbidity Index, Electronic Frailty Index, and Hospital Frailty Risk Score, as well as body mass index, polypharmacy, ethnicity, location, and socioeconomic status measures.

Last updated

3.81 score 1 stars