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:Jiehuan Sun [aut, cre], Katherine P. Liao[aut], Sheng Yu [aut], Tianxi Cai [aut]

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'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.69 score 1 packages 163 scripts 512 downloads 215 mentions 1 exports 5 dependencies

Last updated 6 years agofrom:79b2bcfcee. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winOKNov 12 2024
R-4.5-linuxOKNov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:MAP

Dependencies:flexmixlatticeMatrixmodeltoolsnnet