Fourth i2b2/VA Shared-Task and Workshop Challenges in Natural Language Processing for Clinical Data (Washington, DC)
11/2010
Abstract
Computer Science Machine Learning
The fourth i2b2/VA challenge is a three tiered challenge that studies:
- extraction of medical problems, tests, and treatments
- classification of assertions made on medical problems
- relations of medical problems, tests, and treatments
I2B2 2010 Challenge: Machine Learning for Information Extraction from Patient Records
Creators
Pengyu Hong - Brandeis University, Michtom School of Computer Science
Peter Anick (Corresponding Author) - Brandeis University, Interdepartmental Program in Linguistics and Computational Linguistics
Nianwen Xue (Corresponding Author) - Brandeis University, Michtom School of Computer Science
David Anick (Corresponding Author)
Conference
Fourth i2b2/VA Shared-Task and Workshop Challenges in Natural Language Processing for Clinical Data (Washington, DC)
Identifiers
9924147750601921
Academic Unit
Benjamin and Mae Volen National Center for Complex Systems; Michtom School of Computer Science; Interdepartmental Program in Linguistics and Computational Linguistics