Usage questions

#2
by SteveC - opened

Hello and thanks for making this available. I am not sure if I'm interpreting how to use this best or not. Let's say for the sake of argument I have many roughly one sentence long descriptions of lab tests I would like to cluster. So they may have different names but relate to similar underlying conditions. Feeding sample text to the hosted model I get multiple results vs a single vector, does this (loosely?) correlate to 'medical concepts'? Could said vectors be summed and fed downstream to a clustering process or would that not be advisable?

You can feed sample text to obtain a single vector and cluster them based on similarity without any other training process. The performance is depend on how your descriptions look like. I think you give it a try first.

Sign up or log in to comment