کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
517457 | 867456 | 2009 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Description of a Rule-based System for the i2b2 Challenge in Natural Language Processing for Clinical Data
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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چکیده انگلیسی
The Obesity Challenge, sponsored by Informatics for Integrating Biology and the Bedside (i2b2), a National Center for Biomedical Computing, asked participants to build software systems that could “read” a patient's clinical discharge summary and replicate the judgments of physicians in evaluating presence or absence of obesity and 15 comorbidities. The authors describe their methodology and discuss the results of applying Lockheed Martin's rule-based natural language processing (NLP) capability, ClinREAD. We tailored ClinREAD with medical domain expertise to create assigned default judgments based on the most probable results as defined in the ground truth. It then used rules to collect evidence similar to the evidence that the human judges likely relied upon, and applied a logic module to weigh the strength of all evidence collected to arrive at final judgments. The Challenge results suggest that rule-based systems guided by human medical expertise are capable of solving complex problems in machine processing of medical text.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the American Medical Informatics Association - Volume 16, Issue 4, JulyâAugust 2009, Pages 571-575
Journal: Journal of the American Medical Informatics Association - Volume 16, Issue 4, JulyâAugust 2009, Pages 571-575
نویسندگان
Lois C. MS, Robert MD, Lone PhD, Norris H. MS, Kimberly M. Kowalski, Robert J. PhD,