🎉 🎉   RAPIDMINER 9.5 BETA IS OUT!!!   🎉 🎉

GRAB THE HOTTEST NEW BETA OF RAPIDMINER STUDIO, SERVER, AND RADOOP. LET US KNOW WHAT YOU THINK!

CLICK HERE TO DOWNLOAD

🦉 🎤   RapidMiner Wisdom 2020 - CALL FOR SPEAKERS   🦉 🎤

We are inviting all community members to submit proposals to speak at Wisdom 2020 in Boston.


Whether it's a cool RapidMiner trick or a use case implementation, we want to see what you have.
Form link is below and deadline for submissions is November 15. See you in Boston!

CLICK HERE TO GO TO ENTRY FORM

Text sentiment to predict patient outcome

DocMusherDocMusher Member Posts: 250   Unicorn
edited November 2018 in Help

Hi,

Predictive analytics in healthcare is "hot". Tons of medical notes are finally related to  survival or non survival at a certain point in time. Anyone experience with a medical wordnet dictionary (e.g.http://docslide.us/documents/medical-factnet.html) to use as medical sentiment for the prediction of survival, non-survival? 

Even without a dictionary, a process could be built which words, combinations of words are related to non-survival. 

Anyone interested to work with that, I have access to de-identified medical notes and outcome.

Cheers

Sven

Answers

  • JEdwardJEdward RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 564   Unicorn

    Hi Sven,

     

    Your post reminds me of this paper I read recently: https://peerj.com/preprints/1711.pdf

    Navigating the challenges of medical English education : a novel approach using computational linguistics

     

    It might give you an idea where to start.  Also the corresponding author might be a good person to collaborate with on your research.

    DocMusher
  • haddockhaddock Member Posts: 849  Guru

    Hi there Sven,

     

    I may be able to help, as one of my interests is creating prioritised rule sets from text; there's a paper and some links at https://www.meme-machines.com, and I've attached a poster from GTC2015 to give you an idea.

     

    Best wishes

     

    H

Sign In or Register to comment.