NM Results Management

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  • NM Results Management AI

Project Overview

  • Intro
  • Initial Modeling (Pre-Annotations)
  • Modeling Method I: Regex
  • Modeling Method II: Machine Learning
  • Modeling Method III: Deep Learning
  • Data Acquisition
  • Initial Model Development
  • Clinical Workflow & Epic Integration
  • Prospective Clinical Evaluation
  • Workflow Challenges
  • Updating the Models
  • Future Plans

Getting Started

  • Code Overview
  • Prerequisites

Phase 01 Models

  • Overview
  • Demo: Findings vs No Findings Model
  • Train
  • Classify

Phase 02 Models

  • Overview
  • Demo: Pretraining the NM Results Management Language Model with Custom Corpus
  • Demo: Fine-Tuning NM Results Management Language Model with a Custom Dataset
  • Train
  • Classify

Azure

  • Deployment
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