AWS News Blog

Category: Amazon Comprehend

Introducing Batch Mode Processing for Amazon Comprehend Medical

Launched at AWS re:Invent 2018, Amazon Comprehend Medical is a HIPAA-eligible natural language processing service that makes it easy to use machine learning to extract relevant medical information from unstructured text. For example, customers like Roche Diagnostics and The Fred Hutchinson Cancer Research Center can quickly and accurately extract information, such as medical condition, medication, […]

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Comprehend Medical

Amazon Comprehend Medical – Natural Language Processing for Healthcare Customers

As the son of a Gastroenterologist and a Dermatologist, I grew up listening to arcane conversations involving a never-ending stream of complex medical terms: human anatomy, surgical procedures, medication names… and their abbreviations. A fascinating experience for a curious child wondering whether his parents were wizards of some sort and what all this gibberish meant. […]

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New – Train Custom Document Classifiers with Amazon Comprehend

gives you the power to process natural-language text at scale (read my introductory post, Amazon Comprehend – Continuously Trained Natural Language Processing, to learn more). After launching late 2017 with support for English and Spanish, we have added customer-driven features including Asynchronous Batch Operations, Syntax Analysis, support for additional languages (French, German, Italian, and Portuguese), […]

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Amazon Comprehend Launches Asynchronous Batch Operations

My colleague Jeff Barr last wrote about , a service for discovering insights and relationships in text, when it launched at in 2017. Today, after iterating on customer feedback, we’re releasing a new asynchronous batch inferencing feature for Comprehend. Asynchronous batch operations work on documents stored in buckets and can perform all of the normal […]

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Amazon Comprehend – Continuously Trained Natural Language Processing

Many years ago I was wandering through the University of Maryland CS Library and found a dusty old book titled What Computers Can’t Do, adjacent to its successor, What Computers Still Can’t Do. The second book was thicker, which made me realize that Computer Science was a worthwhile field to study. While preparing to write […]

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