We provide services to help researchers develop statistical software packages and interactive web applications for data analysis and visualization.

  • PheCAP: High-throughput phenotyping with electronic medical record data using a common semi-supervised approach

  • PheNorm: Unsupervised Gold-Standard Label Free Phenotyping Algorithm for EHR Data

  • sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the EHR

  • SAMGEP: A Semi-Supervised Method for Prediction of Phenotype Event Times

  • KESER: Knowledge Extraction via Sparse Embedding Regression

  • OptimalSurrogate: Model free approach to quantifying the proportion of treatment effect explained by a surrogate marker

© 2018- PARSE Health, Boston, MA