cvd_patient: CVD risk synthetic dataset

In laderast/cvdRiskData: Synthetic Dataset for Cardiovascular Risk Prediction

Description

A synthetic dataset for predicting cardiovascular risk in patient cohorts.

Usage

data(cvd_patient)

Format

a data frame with variables related to cvd risk. cvd_genodata is a smaller subset of the data with a few genetic cohorts.

Details

• patientID Patient Identifier. Unique patient identifier for Health Hospital University. HHUID + 8 digit code

• age Patient Age Category. Age category of patient. string of age ranges.

• htn Does patient have hypertension? Threshold systolic blood pressure is 150. Y/N

• treat Is patient receiving hypertension treatment? Y/N

• smoking Y/N based on threshold of pack years: 10

• race Race based on self-defined question in survey. AmInd (american indian), Asian/PI (asian/pacific islander), Black/AfAm (Black/African American), White

• gender Gender of patient. Male, Female, NA means that patient did not want gender recorded.

• t2d Whether patient has Type 2 diabetes. Y/N.

• numAge numerical age in years.

• bmi Body Mass Index of Patient. kg/m^2

• sbp Systolic Blood Pressure in mm/Hg

• cvd Cardiovascular disesase based on extraction from patient billing codes. Y/N

There is a subset of patients that include genetic covariate information called cvd_genodata.

• rs10757278 SNP data

• rs1333049 SNP data

• rs4665058 SNP data

• rs8055236 SNP data

Examples

#load full dataset
data(cvd_patient)

#look at summary of data
summary(cvd_patient)

#load genotype dataset
data(cvd_genodata)
summary(cvd_genodata)

laderast/cvdRiskData documentation built on May 28, 2019, 7:37 a.m.