Package: MAP 0.1.3
MAP: Multimodal Automated Phenotyping
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:10.1101/587436>.).
Authors:
MAP_0.1.3.tar.gz
MAP_0.1.3.zip(r-4.5)MAP_0.1.3.zip(r-4.4)MAP_0.1.3.zip(r-4.3)
MAP_0.1.3.tgz(r-4.4-any)MAP_0.1.3.tgz(r-4.3-any)
MAP_0.1.3.tar.gz(r-4.5-noble)MAP_0.1.3.tar.gz(r-4.4-noble)
MAP_0.1.3.tgz(r-4.4-emscripten)MAP_0.1.3.tgz(r-4.3-emscripten)
MAP.pdf |MAP.html✨
MAP/json (API)
# Install 'MAP' in R: |
install.packages('MAP', repos = c('https://jjr1234.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:79b2bcfcee. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:MAP
Dependencies:flexmixlatticeMatrixmodeltoolsnnet
Readme and manuals
Help Manual
Help page | Topics |
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MAP algorithm | MAP |