natural language processing

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Open Health Guide to HIMSS19

The annual gargantuan HIMSS conference is back in Orlando with over 45,000 participants from more than 90 countries. There will be more than 1,300 vendors at the exhibit floor and more than 300 educational sessions. As with the last several conferences, the focus on open source as the key underlying technologies of health information technologies continues to increase. In previous conferences, we have seen the rise of open source technologies, in particular, those related to interoperability such as FHIR and Blockchain. A large number of sessions at HIMSS19 will be focused on another set of technologies powered largely by open source software and design principles such as artificial intelligence (AI), machine learning, and natural language processing.

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The Emergence of Artificial Intelligence And Why Open Source Matters

Sharing knowledge and sharing code has always been a key driver for innovation in Artificial Intelligence. Researchers have gathered together since AI was established as a field to develop and advance novel techniques, from Natural Language Processing to Artificial Neural Networks, from Machine Learning to Deep Learning. The Open Source community has played a key role in advancing AI and bringing it to solve real-world problems. Libraries and frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn, for example, have allowed researchers and data scientists to study and make use of AI.

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VA Researching Natural Language Processing In EHRs To Prevent Suicide

Ashley Gold | FierceHealthIT | September 12, 2013

The U.S. Department of Veterans affairs is researching the use of natural language processing within its electronic health records system to automate suicide risk alerts. Read More »