NM Results Management

Home

  • 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
NM Results Management
  • »
  • Index
  • Edit on GitHub

Index

C | P | T

C

  • classifier() (in module nmrezman.phase01.classify)
    • (in module nmrezman.phase02.classify)

P

  • pretrain_roberta_base() (in module nmrezman.phase02.train.general)

T

  • train_comment_model() (in module nmrezman.phase01.train.general)
    • (in module nmrezman.phase02.train.general)
  • train_findings_model() (in module nmrezman.phase01.train.general)
    • (in module nmrezman.phase02.train.general)
  • train_lung_adrenal_model() (in module nmrezman.phase01.train.general)
  • train_lung_recommended_proc_model() (in module nmrezman.phase01.train.general)
    • (in module nmrezman.phase02.train.general)

© Copyright 2022, NM HIT.

Built with Sphinx using a theme provided by Read the Docs.