Multimodal Automated Phenotyping
Overview
Electronic health records (EHR) linked with biorepositories are a powerful platform for translational studies. A major bottleneck exists in the ability to phenotype patients accurately and efficiently. Towards that end, we developed an automated high-throughput phenotyping method integrating International Classification of Diseases (ICD) codes and narrative data extracted using natural language processing (NLP). Specifically, our proposed method, called MAP (Map Automated Phenotyping algorithm), fits an ensemble of latent mixture models on aggregated ICD and NLP counts along with healthcare utilization. The MAP algorithm yields a predicted probability of phenotype for each patient and a threshold for classifying subjects with phenotype yes/no (See Katherine P. Liao, et al. (2019) doi:10.1093/jamia/ocz066.).
Install
Health
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage: ‘compound.Rd’ ‘exposition.Rd’ ‘pipe.Rd’ \arguments should not be documented without \usage.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 1 NOTE2026-07-11
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 25%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 20%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
5 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/celehs/map on 2026-10-21.
Dependencies
Installing MAP adds 3 packages (1 with compiled code, 1.4 MB of source tarballs). Heaviest: flexmix 1.1 MB, magrittr 275 KB, modeltools 15 KB.
Code & Tests
Datasets
People & History
Previously maintained by Jiehuan Sun (0.1.3).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.0Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.32019-04-01
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-04-01
- Total releases
- 2 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.4.0
- Bundled data
- 58 KB / 1 file
- Download size
- 76 KB
Cite
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Run in R for the authors' preferred citation:
citation("MAP")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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