کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6854468 | 1437438 | 2015 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Design and validation of a light-weight reasoning system to support remote health monitoring applications
ترجمه فارسی عنوان
طراحی و تایید یک سیستم استدلال سبک وزن برای پشتیبانی از برنامه های کنترل از راه دور سلامت
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کلمات کلیدی
سیستم های پشتیبانی تصمیم، مهندسی دانش، الگوریتم های نتیجه گیری، نظارت بر بیمار،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Recently, mobile devices have dramatically improved their communications and processing capabilities, so enabling the possibility of embedding knowledge-based decision support components within Remote Health Monitoring (RHM) applications for the ubiquitous and seamless management of chronic patients. According to these considerations, this paper presents a light-weight, rule-based, reasoning system, purposely designed and optimized to build knowledge-based Decision Support Systems efficiently embeddable in mobile devices. The key issues of such a system are both a domain-independent reasoning algorithm and knowledge representation capabilities, specifically thought for both computation intensive and real-time RHM scenarios. The performance evaluation of the proposed system has been arranged according to the Taguchi's experimental design and performed directly on a mobile device in order to quantitatively assess its effectiveness in terms of memory usage and response time. Moreover, a case study has been arranged in order to evaluate the effectiveness of the proposed system within a real RHM application for monitoring cardiovascular diseases. The evaluation results show that the system offers an innovative and efficient tool to build mobile DSSs for healthcare applications where real-time performance or computation intensive demands have to be met.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 41, May 2015, Pages 232-248
Journal: Engineering Applications of Artificial Intelligence - Volume 41, May 2015, Pages 232-248
نویسندگان
Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro,