Work

CVD Risk Prediction Synthetic Dataset

Year: 2017

Type: dataset

Abstract: This is a synthetic dataset to teach students about using clinical and genetic covariates to predict cardiovascular risk in a realistic (but synthetic) dataset. For the workshop materials, please go here: https://github.com/laderast/cvdNight1Contents:1) dataDictionary.pdf - pdf file describing all covariates in the synthetic dataset.2) fullPatientData.csv - csv file with multiple covariates3) genoData.csv - subset of patients in fullPatientData.csv with additional SNP calls.

Source: Figshare

DOI: 10.6084/m9.figshare.5439991

Authors: Laderas, Ted, Dorr, David, Vasilevsky, Nicole, McWeeney, Shannon, Haendel, Melissa, Pederson, Bjorn

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4394088612

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