کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6855084 | 1437605 | 2018 | 33 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Towards an ontology-driven clinical experience sharing ecosystem: Demonstration with liver cases
ترجمه فارسی عنوان
به سوی شیوه ی به اشتراک گذاری اکوسیستم تجربه بالینی مبتنی بر هستی شناسی: تظاهرات با موارد کبدی
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کلمات کلیدی
کاربرد هستی شناسی رانده شده، نمایندگی مورد پزشکی، نمایندگی دانش، منابع و سیستم های پزشکی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Past medical cases, hence clinical experience, are invaluable resources in supporting clinical practice, research, and education. Medical professionals need to be able to exchange information about patient cases and explore them from subjective perspectives. This requires a systematic and flexible methodology to case representation for supporting the exchange of processable patient information. We present an ontology based approach to modeling patient cases and use patients with liver disease conditions as an example. To this end a novel ontology, lico, that utilizes well known medical standards is proposed to represent liver patient cases. The utility of the proposed approach is demonstrated with semantic queries and reasoning using data collected from real patients. The preliminary results are promising in regards to the potentials of ontology based medical case representation for building case-based search and retrieval systems, paving the way towards a Clinical Experience Sharing platform for comparative diagnosis, research, and education.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 101, 1 July 2018, Pages 176-195
Journal: Expert Systems with Applications - Volume 101, 1 July 2018, Pages 176-195
نویسندگان
MarÃa del Mar Roldán-GarcÃa, Suzan Uskudarli, Neda B. Marvasti, Burak Acar, José F. Aldana-Montes,