Topic#1 "State of the art NLP in Healthcare"
Many critical facts required by healthcare AI applications like patient risk prediction, cohort selection, and clinical decision support are locked in unstructured free-text data. Recent advances in deep learning and transfer learning have raised the bar on achievable accuracy for tasks like named entity recognition, assertion status detection, entity linking, de-identification, and relation extraction, using novel healthcare-specific networks and models.
This session introduces Spark NLP for Healthcare: the world’s most widely used healthcare NLP library, which holds a majority of top spots on accuracy leaderboards, is optimized to run on modern CPU's & GPU’s and is natively able to scale to run training & inference on Spark clusters. Live & freely available Python notebooks will be used to demonstrate how to achieve state-of-the-art accuracy & speed on common medical NLP tasks.
Topic#2: Working with German Radiology Reports
In this talk, Katrin will cover various challenges one encounters when working with natural language texts in form of radiology reports and potential solutions for them. In addition to general challenges like different styles across different hospitals, speaker will also cover language-specific challenges for German written in Switzerland. German used in Switzerland is slightly different from the one used in Germany, the most prominent would be that in Switzerland we do not use ß but write ss instead.
Working in healthcare requires us to put exceptional effort into making our predictions more accurate. For Katrin, this meant addressing each of these challenges individually whereby they often proved to be more complicated than first expected. For example, simply replacing ß with ss in the data set to normalize all the input data doesn’t do the trick.
Co-organized with NLP Zurich community
Senior Data Scientist at Balzano Informatik
Katrin Affolter is a computer scientist living in Zurich. She received her bachelor's and master's degrees in Informatics with a heavy focus on NLP from the University of Zurich. Since then, she has worked in various positions working with natural language data. For the last two years, she worked on extracting structured data from radiology reports at Balzano Informatik AG.
CTO at John Snow Labs
David Talby is a chief technology officer at John Snow Labs, helping healthcare & life science companies put AI to good use. David is the creator of Spark NLP – the world’s most widely used natural language processing library in the enterprise. He has extensive experience building and running web-scale software platforms and teams – in startups, for Microsoft’s Bing in the US and Europe, and to scale Amazon’s financial systems in Seattle and the UK. David holds a PhD in computer science and master’s degrees in both computer science and business administration.
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