ehr_data

<p>This dataset gives a sample dataset for EHR phenotyping.
  It contains counts for ICD codes, counts for NLP mentions,
  healthcare utilization (HU) features for all observations.
  It also contains the accurate phenotypes for 181 observations.</p>

datasets

Implement surrogate-assisted feature extraction (SAFE) and
common machine learning approaches to train and validate phenotyping models.
Background and details about the methods can be found at
Zhang et al. (2019) <doi:10.1038/s41596-019-0227-6>,
Yu et al. (2017) <doi:10.1093/jamia/ocw135>, and
Liao et al. (2015) <doi:10.1136/bmj.h1885>.

 PARSE LTD

PheCAP

High-Throughput Phenotyping with EHR using a Common Automated
Pipeline

Yichi Zhang

Chuan Hong

Tianxi Cai

ehr_data function

<p>A data.frame with 10000 observations of 588 variables.</p>

Format

A Synthetic EHR Dataset — ehr_data

A Synthetic EHR Dataset

ehr_data: A Synthetic EHR Dataset

Description

Usage

Arguments

Format