کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5793678 1110024 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mining free-text medical records for companion animal enteric syndrome surveillance
ترجمه فارسی عنوان
استخراج معادن پزشکی رایگان متن برای نظارت بر سندرم روده تحریک پذیر حیوان خانگی
کلمات کلیدی
مدارک پزشکی الکترونیکی، دامپزشکی، مهندسی، نظارت، استخراج متن، سندرم روده
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم دامی و جانورشناسی
چکیده انگلیسی

Large amounts of animal health care data are present in veterinary electronic medical records (EMR) and they present an opportunity for companion animal disease surveillance. Veterinary patient records are largely in free-text without clinical coding or fixed vocabulary. Text-mining, a computer and information technology application, is needed to identify cases of interest and to add structure to the otherwise unstructured data. In this study EMR's were extracted from veterinary management programs of 12 participating veterinary practices and stored in a data warehouse. Using commercially available text-mining software (WordStat™), we developed a categorization dictionary that could be used to automatically classify and extract enteric syndrome cases from the warehoused electronic medical records. The diagnostic accuracy of the text-miner for retrieving cases of enteric syndrome was measured against human reviewers who independently categorized a random sample of 2500 cases as enteric syndrome positive or negative. Compared to the reviewers, the text-miner retrieved cases with enteric signs with a sensitivity of 87.6% (95%CI, 80.4-92.9%) and a specificity of 99.3% (95%CI, 98.9-99.6%). Automatic and accurate detection of enteric syndrome cases provides an opportunity for community surveillance of enteric pathogens in companion animals.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Preventive Veterinary Medicine - Volume 113, Issue 4, 1 March 2014, Pages 417-422
نویسندگان
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