Example on simulated dataset

In PheNorm: Unsupervised Gold-Standard Label Free Phenotyping Algorithm for EHR Data

Next, we propose a simple example in which we fit PheNorm to a simulated dataset.

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(PheNorm)

Load the data

set.seed(1234)
fit.dat <- read.csv("https://raw.githubusercontent.com/celehs/PheNorm/master/data-raw/data.csv")

Apply the PheNorm algorithm

fit.phenorm=PheNorm.Prob("ICD", "utl", fit.dat, nm.X = NULL, corrupt.rate=0.3, train.size=nrow(fit.dat))
head(fit.phenorm$probs)

PheNorm documentation built on Jan. 8, 2021, 2:06 a.m.