<--- Back to Details
First PageDocument Content
Natural language processing / Computational linguistics / Health / Artificial intelligence / Application software / Artificial intelligence applications / Statistical natural language processing / Biomedical text mining / Apache cTAKES / Text mining / Health informatics / Information extraction
Date: 2017-10-19 20:58:26
Natural language processing
Computational linguistics
Health
Artificial intelligence
Application software
Artificial intelligence applications
Statistical natural language processing
Biomedical text mining
Apache cTAKES
Text mining
Health informatics
Information extraction

228 © 2017 IMIA and Schattauer GmbH Making Sense of Big Textual Data for Health

Add to Reading List

Source URL: www.timalthoff.com

Download Document from Source Website

File Size: 702,76 KB

Share Document on Facebook

Similar Documents

Optimizing Apache cTAKES for Disease/Disorder Template Filling: Team HITACHI in 2014 ShARe/CLEF eHealth Evaluation Lab 1 1

Optimizing Apache cTAKES for Disease/Disorder Template Filling: Team HITACHI in 2014 ShARe/CLEF eHealth Evaluation Lab 1 1

DocID: HEid - View Document

Apache Clinical Text Analysis and Knowledge Extraction System (cTAKES) Guergana K. Savova, PhD Pei Chen Boston Children’s Hospital

Apache Clinical Text Analysis and Knowledge Extraction System (cTAKES) Guergana K. Savova, PhD Pei Chen Boston Children’s Hospital

DocID: fuRk - View Document