Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 08_Other_Analytics_Types
  • 02_Chemistry_and_Life_Sciences
  • 03_Fun_with_Tags
WorkflowWorkflow

Tagging of Disease Names in Biomedical Literature

Text mining Network mining Practicing Data Science

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
Automated access to disease information is an important goal of information extraction and text mining efforts. Here, we want to create a model that learns disease names in a set of documents from biomedical literature. We will automatically extract literature from PubMed and use these documents to train our model on an initial set of disease names (the dictionary). We score the resulting model and check if we can extract new information by comparing the detected disease names to our initial set. Subsequently, we interactively inspect the diseases that co-ooccur in the same documents by a network approach and look into genetic information associated with these diseases.

External resources

  • Fun with Tags Blogpost

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.0
  • Go to item
    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Network Mining Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

Legal

By using or downloading the workflow, you agree to our terms and conditions.

Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits