resplab/chdwilson: Coronary Heat Disease (CHD) Prediction Model using risk factor categories over 10 years based on <doi: 10.1161/01.cir.97.18.1837>

Predicts chance of developing Coronary Heart Disease risk using Total Cholesterol and LDL Cholesterol risk factors using Joint National Committee (JNC-V) blood pressure and National Cholesterol Education program (NCEP) categories respectively and based on patients's health status. LDL Cholesterol is the major atherogenic lipoprotein and that measurement of LDL Cholesterol levels in the clinical setting provides an advantage base on clinical trial results.

Getting started

Package details

MaintainerAmin Adibi <adibi@alumni.ubc.ca>
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("resplab/chdwilson")
resplab/chdwilson documentation built on June 25, 2020, 4:14 a.m.