Paper: Identification of Patients with Acute Lung Injury from Free-Text Chest X-Ray Reports

ACL ID W13-1902
Title Identification of Patients with Acute Lung Injury from Free-Text Chest X-Ray Reports
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2013
Authors

Identification of complex clinical phenotypes among critically ill patients is a major chal- lenge in clinical research. The overall research goal of our work is to develop automated ap- proaches that accurately identify critical illness phenotypes to prevent the resource intensive manual abstraction approach. In this paper, we describe a text processing method that uses Natural Language Processing (NLP) and su- pervised text classification methods to identify patients who are positive for Acute Lung Inju- ry (ALI) based on the information available in free-text chest x-ray reports. To increase the classification performance we enhanced the baseline unigram representation with bigram and trigram features, enriched the n-gram fea- tures with assertion analysis, and applied sta- t...