The authors organized a Natural Language Processing (NLP) challenge on automatically
determining the smoking status of patients from information found in their discharge records …

This article describes our system entry for the 2006 I2B2 contest “Challenges in Natural
Language Processing for Clinical Data” for the task of identifying the smoking status of …

This workshop aims to bring together computational linguists and medical informaticians
interested in automatic linguistic processing of clinical records such as medical discharge …

Abstract The Clinical Language Understanding group at Nuance Communications has
developed a medical information extraction system that combines a rule-based extraction …

Smoking is the leading cause of preventable death in the United States. Obtaining patients'
smoking status is the first step in delivering smoking cessation counseling. In this study, we …

Objective: Develop a representation of clinical observations and actions and a method of
processing free-text patient documents to facilitate applications such as quality assurance …

Abstract The Third i2b2 Workshop on Natural Language Processing Challenges for Clinical
Records focused on the identification of medications, their dosages, modes (routes) of …

Objective: Within the context of the Third i2b2 Workshop on Natural Language Processing
Challenges for Clinical Records, the authors (also referred to as 'the i2b2 medication …

Objective: The authors present a system developed for the Challenge in Natural Language
Processing for Clinical Data—the i2b2 obesity challenge, whose aim was to automatically …

In order to survey, facilitate, and evaluate studies of medical language processing on clinical
narratives, i2b2 (Informatics for Integrating Biology to the Bedside) organized its second …