Text Analytics for Health

From the creator

Text Analytics for health is a preview feature of Text Analytics which enables developers to process and extract insights from unstructured clinical and biomedical text. Through a single API call, using NLP techniques such as named entity recognition, entity linking, relation extraction and entity negation, Text Analytics can extract critical and relevant medical information without the need for time-intensive, manual development of custom models. We will demonstrate how to make API calls to the synchronous operation offered in a downloadable container and also to the asynchronous operation offered in the hosted web API. Jump To: [01:49] About Text Analytics [04:20] Demo Text Analytics for Health [08:27] Demo API in Postman [12:51] Data Privacy [14:14] Find more More Information: Text Analytics for Health - Blog https://aka.ms/AIShow/textanalyticsBlog Text Analytics for Health - Documentation https://aka.ms/AIShow/textanalyticsDocumentation Create a Free account (Azure) https://aka.ms/aishow-seth-azurefree Deep Learning vs. Machine Learning https://aka.ms/AIShow/DLvML Get Started with Machine Learning https://aka.ms/AIShow/StartML Follow Seth https://twitter.com/sethjuarez Don't miss new episodes, subscribe to the AI Show https://aka.ms/aishowsubscribe

Published 2020-11-24 · Watch on YouTube ↗
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