PheNorm
0.1.0Unsupervised Gold-Standard Label Free Phenotyping Algorithm for EHR Data
Overview
The algorithm combines the most predictive variable, such as count of the main International Classification of Diseases (ICD) codes, and other Electronic Health Record (EHR) features (e.g. health utilization and processed clinical note data), to obtain a score for accurate risk prediction and disease classification. In particular, it normalizes the surrogate to resemble gaussian mixture and leverages the remaining features through random corruption denoising. Background and details about the method can be found at Yu et al. (2018) doi:10.1093/jamia/ocx111.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/celehs/phenorm on 2026-07-30.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2021-01-07
- Total releases
- 1 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 8.9 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet