'Babylon Health: How to represent medical terminology for Machine Learning.'

'London Artificial Intelligence Meetup https://www.meetup.com/LondonArtificialIntelligence/    Abstract: Machine Learning has many successful application in Medicine. Most of these require some representation of medical terms, usually in the form of vectors. In this talk, I will explain how such vector representations are obtained investigate whether or not they adequately represent medical terminology.  Bio: Claudia Schulz is a lead research scientist at Babylon Health, where she tackles healthcare challenges using NLP, ML, and Knowledge Representation techniques. She has a background in both symbolic AI (PhD from Imperial College London) and NLP / Machine Learning (Postdoctoral Researcher at TU Darmstadt).' 

Tags: transformers , ai , artificial intelligence , machine learning , NLP , Elmo , BERT

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