# Make sure to install all dependencies (not needed if already done):
# install.packages("SqlRender")
# install.packages("DatabaseConnector")
# install.packages("ggplot2")
# install.packages("ParallelLogger")
# install.packages("readr")
# install.packages("tibble")
# install.packages("dplyr")
# install.packages("RJSONIO")
# install.packages("devtools")
# devtools::install_github("FeatureExtraction")
# devtools::install_github("ROhdsiWebApi")
# devtools::install_github("CohortDiagnostics")
# Load the package
library(examplePackage)
path <- 'D:/yourStudyFolderRs'
# Optional: specify where the temporary files will be created:
options(andromedaTempFolder = file.path(path, "andromedaTemp"))
# Maximum number of cores to be used:
maxCores <- parallel::detectCores()
# Details for connecting to the server:
connectionDetails <- DatabaseConnector::createConnectionDetails(dbms = "redshift",
server = Sys.getenv("REDSHIFT_MDCD_SERVER"),
user = Sys.getenv("userSecureAWS"),
password = Sys.getenv("passwordSecureAWS"),
port = Sys.getenv("REDSHIFT_MDCD_PORT"))
# For Oracle: define a schema that can be used to emulate temp tables:
oracleTempSchema <- NULL
# Details specific to the database:
outputFolder <- file.path(path, "output")
cdmDatabaseSchema <- Sys.getenv("REDSHIFT_MDCD_CDM")
cohortDatabaseSchema <- Sys.getenv("REDSHIFT_MDCD_SCRATCH")
cohortTable <- "yourCohortTable"
databaseId <- "MDCD"
databaseName <- "IBM Medicaid database"
databaseDescription <- "IBM Medicaid database."
# Use this to run the cohorttDiagnostics. The results will be stored in the diagnosticsExport subfolder of the outputFolder. This can be shared between sites.
examplePackage::runCohortDiagnostics(connectionDetails = connectionDetails,
cdmDatabaseSchema = cdmDatabaseSchema,
cohortDatabaseSchema = cohortDatabaseSchema,
cohortTable = cohortTable,
oracleTempSchema = oracleTempSchema,
outputFolder = outputFolder,
databaseId = databaseId,
databaseName = databaseName,
databaseDescription = databaseDescription,
createCohorts = TRUE,
runInclusionStatistics = TRUE,
runIncludedSourceConcepts = TRUE,
runOrphanConcepts = TRUE,
runTimeDistributions = TRUE,
runBreakdownIndexEvents = TRUE,
runIncidenceRates = TRUE,
runCohortOverlap = TRUE,
runCohortCharacterization = TRUE,
runTemporalCohortCharacterization = TRUE,
minCellCount = 5)
# To view the results:
# Optional: if there are results zip files from multiple sites in a folder, this merges them, which will speed up starting the viewer:
CohortDiagnostics::preMergeDiagnosticsFiles(file.path(outputFolder, "diagnosticsExport"))
# Use this to view the results. Multiple zip files can be in the same folder. If the files were pre-merged, this is automatically detected:
CohortDiagnostics::launchDiagnosticsExplorer(file.path(outputFolder, "diagnosticsExport"))
# To explore a specific cohort in the local database, viewing patient profiles:
CohortDiagnostics::launchCohortExplorer(connectionDetails = connectionDetails,
cdmDatabaseSchema = cdmDatabaseSchema,
cohortDatabaseSchema = cohortDatabaseSchema,
cohortTable = cohortTable,
cohortId = 123)
# Where 123 is the ID of the cohort you wish to inspect.
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