@inproceedings{6d1dff448806470fac4b54b284300caa,
title = "Towards symbiosis in knowledge representation and natural language processing for structuring clinical practice guidelines",
abstract = "The successful adoption by clinicians of evidence-based clinical practice guidelines (CPGs) contained in clinical information systems requires efficient translation of free-text guidelines into computable formats. Natural language processing (NLP) has the potential to improve the efficiency of such translation. However, it is laborious to develop NLP to structure free-text CPGs using existing formal knowledge representations (KR). In response to this challenge, this vision paper discusses the value and feasibility of supporting symbiosis in text-based knowledge acquisition (KA) and KR. We compare two ontologies: (1) an ontology manually created by domain experts for CPG eligibility criteria and (2) an upper-level ontology derived from a semantic pattern-based approach for automatic KA from CPG eligibility criteria text. Then we discuss the strengths and limitations of interweaving KA and NLP for KR purposes and important considerations for achieving the symbiosis of KR and NLP for structuring CPGs to achieve evidence-based clinical practice.",
keywords = "Clinical Trial, Knowledge Representation, Natural Language Processing, Practice Guidelines",
author = "Chunhua Weng and Payne, {Philip R.O.} and Mark Velez and Johnson, {Stephen B.} and Suzanne Bakken",
year = "2014",
doi = "10.3233/978-1-61499-415-2-461",
language = "English",
isbn = "9781614994145",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "461--469",
booktitle = "Nursing Informatics 2014",
note = "12th International Congress on Nursing Informatics: East Meets West eSMART+, NI 2014 ; Conference date: 21-06-2014 Through 25-06-2014",
}