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>.).

Getting started

Package details

AuthorJiehuan Sun [aut, cre], Katherine P. Liao[aut], Sheng Yu [aut], Tianxi Cai [aut]
MaintainerJiehuan Sun <[email protected]>
LicenseGPL-2
Version0.1.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MAP")

Try the MAP package in your browser

Any scripts or data that you put into this service are public.

MAP documentation built on May 2, 2019, 3:45 a.m.