@inproceedings{3c58fbb51b5c44c294153c666a2f529d,
title = "Representing Clinical Diagnostic Criteria in Quality Data Model Using Natural Language Processing",
abstract = "Constructing standard and computable clinical diagnostic criteria is an important and challenging research area in clinical informatics community. In this study, we present our framework and methods for representing clinical diagnostic criteria in Quality Data Model (QDM) using natural language processing (NLP) technologies. We used a clinical NLP tool known as cTAKES for preprocessing of textual diagnostic criteria. We created mappings between cTAKES type system and QDM elements in both datatype and data levels. We evaluated the performance of our NLP-based approach by annotating 218 individual diagnostic criteria in the categories of Symptom and Laboratory Test. In conclusion, our NLP-based approach is a feasible solution in developing diagnostic criteria representation and computerization.",
author = "Na Hong and Dingcheng Li and Yue Yu and Hongfang Liu and Chute, {Christopher G.} and Guoqian Jiang",
note = "Publisher Copyright: {\textcopyright} 2015 Association for Computational Linguistics; ACL-IJCNLP 2015 Workshop on Biomedical Natural Language Processing, BioNLP 2015 ; Conference date: 30-07-2015",
year = "2015",
language = "English (US)",
series = "ACL-IJCNLP 2015 - BioNLP 2015: Workshop on Biomedical Natural Language Processing, Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "177--182",
booktitle = "ACL-IJCNLP 2015 - BioNLP 2015",
address = "United States",
}