论文信息 - Syntactical Negation Detection in Clinical Practice Guidelines

Syntactical Negation Detection in Clinical Practice Guidelines

In clinical practice guidelines (CPGs) the medical information is stored in a narrative way. A large part of this information occurs in a negated form. The detection of negation in CPGs is an important task since it helps medical personnel to identify not occurring symptoms and diseases as well as treatment actions that should not be accomplished. We developed algorithms capable of Negation Detection in this kind of medical documents. According to our results, we are convinced that the involvement of syntactical methods can improve Negation Detection, not only in medical writings but also in arbitrary narrative texts.

[1] C. Friedman,et al. Medical Language Processing: Computer Management of Narrative Data , 1987 .

[2] Laurence R. Horn. A Natural History of Negation , 1989 .

[3] M. Field,et al. Clinical practice guidelines : directions for a new program , 1990 .

[4] Fangfang Feng,et al. Ad-Hoc Classification of Electronic Clinical Documents , 1997, D Lib Mag..

[5] Alan R. Aronson,et al. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program , 2001, AMIA.

[6] Wendy W. Chapman,et al. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries , 2001, J. Biomed. Informatics.

[7] Prakash M. Nadkarni,et al. Research Paper: Use of General-purpose Negation Detection to Augment Concept Indexing of Medical Documents: A Quantitative Study Using the UMLS , 2001, J. Am. Medical Informatics Assoc..

[8] Peter L. Elkin,et al. A controlled trial of automated classification of negation from clinical notes , 2005, BMC Medical Informatics Decis. Mak..

[9] Jon D. Patrick,et al. Automatic Mapping Clinical Notes to Medical Terminologies , 2006, ALTA.

[10] Yang Huang,et al. A novel hybrid approach to automated negation detection in clinical radiology reports. , 2007, Journal of the American Medical Informatics Association : JAMIA.