Literature DB >> 17102502

Mapping nurses' natural language to oncology patients' symptom expressions.

Ann Kristin Rotegård1, Laura Slaughter, Cornelia M Ruland.   

Abstract

Systems that integrate information from both the patients and health professionals require bi-directional term translation. We manually extracted nursing terms from 25 randomly selected cancer patients' charts that expressed symptoms and mapped these to a set of patient-oriented symptoms from a cancer support system. We found that 40% of the nursing terms were synonyms of patient expressions that could be mapped directly; however 38% of the nursing terms required a map to more than one patient expression. In this study, we gained an understanding of the link between nursing and patient language that is needed for future system development.

Entities:  

Mesh:

Year:  2006        PMID: 17102502

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  A semantic and syntactic text simplification tool for health content.

Authors:  Sasikiran Kandula; Dorothy Curtis; Qing Zeng-Treitler
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.