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    • Java
      1081Updated Sep 23, 2022Sep 23, 2022
    • ie-viz

      Public
      The Information Extraction and Visualization Toolkit Centralized Architecture prototype is designed for generating and visualizing clinical notes annotations for VA patient narratives and connecting with the relevant ontologies.
      Java
      1130Updated Aug 24, 2021Aug 24, 2021
    • Blulab Homepage
      HTML
      0000Updated Dec 19, 2019Dec 19, 2019
    • Demonstration of Moonstone, with Powerpoint tutorial on creating new grammar rules
      1010Updated Oct 3, 2019Oct 3, 2019
    • Pipeline tool for pyConTextNLP developed for VA/VINCI use that adds a CLI, misspellings finder, database I/O, batching, multiprocessing, several sentence splitters, and eHOST output
      Python
      1100Updated Jun 6, 2019Jun 6, 2019
    • KA_API

      Public
      Java
      0000Updated May 10, 2019May 10, 2019
    • A data extraction component by incorporating an API that could extract family-relationship information related to all the HL7 and SNOMED standard codes across an entire domain.
      Java
      0000Updated May 1, 2019May 1, 2019
    • Moonstone NLP system applied to VA project to study the analysis of social risk factors applied to hospital readmission
      Java
      3400Updated Apr 18, 2019Apr 18, 2019
    • nlptools

      Public
      This repository consists of Clinical NLP tools collection built at BluLab
      Java
      0000Updated Feb 10, 2019Feb 10, 2019
    • Java
      0000Updated Nov 16, 2018Nov 16, 2018
    • Family History Feature Encoder retrieves the best features needed to demonstrate the feasibility of extracting individualized patient cancer risk assessments for breast, ovarian, and colon cancer and leveraging risk factors based on family history information from clinical texts
      Java
      1100Updated Jun 25, 2018Jun 25, 2018
    • Web Ontology Language
      2140Updated Jun 14, 2017Jun 14, 2017
    • Java
      0000Updated Jun 5, 2017Jun 5, 2017
    • 0000Updated Apr 9, 2017Apr 9, 2017
    • AMI-RO1

      Public
      AMI R01 HL 130828 Information Extraction from EMRs to Predict Readmission following AMI
      0000Updated Dec 9, 2016Dec 9, 2016
    • GitTest

      Public
      0000Updated Aug 30, 2016Aug 30, 2016
    • The purpose of this tool is to extract mentions of carotid stenosis, categorize the mentions into 3 classes (no stenosis, insignificant stenosis, or significant stenosis) and, then classify the whole document according to the most significant mention level encoded within the document.
      Python
      Apache License 2.0
      2200Updated Aug 17, 2016Aug 17, 2016
    • Java
      2710Updated Jan 29, 2016Jan 29, 2016
    • ConText

      Public
      Java
      Apache License 2.0
      7911Updated Jun 25, 2015Jun 25, 2015
    • VIP-regex

      Public
      0000Updated May 11, 2015May 11, 2015