Text sentiment to predict patient outcome
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.
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.
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.