MedSecId annotations with MIMIC-III corpus parsing

This repository contains the a Python package to automatically segment and identify sections of clinical notes, such as electronic health record (EHR) medical documents.

• Overview
  • Table of Contents
  • Documentation
  • Installation
  • Usage
    • Prediction Usage
    • Annotation Access
  • Models
    • MedCAT Models
    • Performance Metrics
  • Differences from the Paper Repository
    • Model Differences
  • Training
    • Preprocessing Step
    • Training and Testing
  • Training Production Models
  • Citation
  • Docker
  • Changelog
  • Community
  • License
• API Reference
  • zensols.mimicsid package
    • Submodules
    • zensols.mimicsid.anon module
    • zensols.mimicsid.app module
    • zensols.mimicsid.cli module
    • zensols.mimicsid.compat module
    • zensols.mimicsid.dapp module
    • zensols.mimicsid.domain module
    • zensols.mimicsid.model module
    • zensols.mimicsid.pred module
    • Module contents
• Contributing
  • Issue reporting
    • Reporting bugs
  • Pull requests

Indices and tables

• Index

• Module Index

• Search Page