دانلود مقاله انگلیسی رایگان:کاربرد یادگیری تقویتی در کنترل قند خون دیابت :  یک بررسی سیستماتیک - 2020
بلافاصله پس از پرداخت دانلود کنید
دانلود مقاله انگلیسی یادگیری تقویتی رایگان
  • Reinforcement learning application in diabetes blood glucose control :  A systematic review Reinforcement learning application in diabetes blood glucose control : A systematic review
    Reinforcement learning application in diabetes blood glucose control :  A systematic review

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    Reinforcement learning application in diabetes blood glucose control : A systematic review


    ترجمه فارسی عنوان مقاله:

    کاربرد یادگیری تقویتی در کنترل قند خون دیابت : یک بررسی سیستماتیک


    منبع:

    Sciencedirect - Elsevier - Artificial Intelligence In Medicine, 104 (2020) 101836. doi:10.1016/j.artmed.2020.101836


    نویسنده:

    Miguel Tejedora,*, Ashenafi Zebene Woldaregaya, Fred Godtliebsenb


    چکیده انگلیسی:

    Background: Reinforcement learning (RL) is a computational approach to understanding and automating goaldirected learning and decision-making. It is designed for problems which include a learning agent interacting with its environment to achieve a goal. For example, blood glucose (BG) control in diabetes mellitus (DM), where the learning agent and its environment are the controller and the body of the patient respectively. RL algorithms could be used to design a fully closed-loop controller, providing a truly personalized insulin dosage regimen based exclusively on the patient’s own data. Objective: In this review we aim to evaluate state-of-the-art RL approaches to designing BG control algorithms in DM patients, reporting successfully implemented RL algorithms in closed-loop, insulin infusion, decision support and personalized feedback in the context of DM. Methods: An exhaustive literature search was performed using different online databases, analyzing the literature from 1990 to 2019. In a first stage, a set of selection criteria were established in order to select the most relevant papers according to the title, keywords and abstract. Research questions were established and answered in a second stage, using the information extracted from the articles selected during the preliminary selection. Results: The initial search using title, keywords, and abstracts resulted in a total of 404 articles. After removal of duplicates from the record, 347 articles remained. An independent analysis and screening of the records against our inclusion and exclusion criteria defined in Methods section resulted in removal of 296 articles, leaving 51 relevant articles. A full-text assessment was conducted on the remaining relevant articles, which resulted in 29 relevant articles that were critically analyzed. The inter-rater agreement was measured using Cohen Kappa test, and disagreements were resolved through discussion. Conclusions: The advances in health technologies and mobile devices have facilitated the implementation of RL algorithms for optimal glycemic regulation in diabetes. However, there exists few articles in the literature focused on the application of these algorithms to the BG regulation problem. Moreover, such algorithms are designed for control tasks as BG adjustment and their use have increased recently in the diabetes research area, therefore we foresee RL algorithms will be used more frequently for BG control in the coming years. Furthermore, in the literature there is a lack of focus on aspects that influence BG level such as meal intakes and physical activity (PA), which should be included in the control problem. Finally, there exists a need to perform clinical validation of the algorithms.
    Keywords: Reinforcement learning | Blood glucose control | Artificial pancreas | Closed-loop | Insulin infusion


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 13
    حجم فایل: 1183 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




اگر این مقاله را پسندیدید آن را در شبکه های اجتماعی به اشتراک بگذارید (برای به اشتراک گذاری بر روی ایکن های زیر کلیک کنید)

تعداد نظرات : 0

الزامی
الزامی
الزامی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi