خادم زاده, سمیرا ، نصیری طوسی, محسن ، مهرآیین, اسماعیل ، روشن پور, آرش ، قاضی سعیدی, مرجان (1400) عناصر داده ای و ویژگیهای رایج سیستم توصیه گر برای افراد مبتلا به بیماری کبد چرب. Journal of Iranian Medical Council ــ 5 (1). ص.ص.156-167. شاپا 2645-338X
متن کامل
|
متنی
- نسخه چاپ شده
422kB |
آدرس اینترنتی رسمی : https://www.jimc.ir/article_151490.html
عنوان انگليسی
Common Data Elements and Features of a Recommender System for People Living with Fatty Liver Disease
خلاصه انگلیسی
Background: Fatty liver disease is rising as the most common liver disease in recent years. One of the new approaches to manage the disease is the use of intelligent systems. The recommender system is increasingly utilized in managing chronic conditions. This study was performed to identify the common data elements and features of a recommender system for people living with fatty liver. Methods: This study was a narrative review exploring the minimum data set for a recommender system in fatty liver disease. We aimed to review the current literature evidence to comprehend the specific requirements of the related knowledge. The search was carried out in November 2020 using PubMed, Scopus, Science Direct, and Web of Science databases. We searched the keywords including fatty liver, liver disease, nonalcoholic fatty liver disease, intelligent, smart system, recommender system, minimum data set, data element, and data requirements. Results: A review of the articles showed that the most common data elements of the administrative category were sex/gender (n=22), age (n=22), and ethnic group/race (n=8). We also identified the clinical data elements and technical features of a recommender system for people living with fatty liver. Based on the findings of this study, “diabetes and glucose status” (n=18), “AST” (n=15), “BMI” (n=13), and “ALT” (n=13) were the most frequent data elements of clinical category. Furthermore, “predicting and identifying” (n=8) was the most common technical feature mentioned in the reviewed articles. Conclusion: We determined the common elements and features of a recommender system in three different categories: clinical data elements, demographic data elements, and technical capabilities. Using these requirements, it is possible to structure data gathering, medication adherence, and communication with healthcare providers in a standard manner. It is suggested that appropriate policies and national grants be adopted to identify and prioritize a minimum data set to support the healthcare services of people living with chronic conditions.
نوع سند : | مقاله |
---|---|
زبان سند : | انگلیسی |
نویسنده اول : | سمیرا خادم زاده |
نویسنده : | محسن نصیری طوسی |
نویسنده : | اسماعیل مهرآیین |
نویسنده : | آرش روشن پور |
نویسنده مسئول : | مرجان قاضی سعیدی |
ضریب تاثیر و نمایه مجلات: | Indexed in: Scopus, Google Scholar, SID |
کلیدواژه ها (انگلیسی): | Fatty liver disease, Intelligent system, Minimum data set, Nonalcoholic fatty liver disease, Recommender system |
موضوعات : | W حرفه پزشکی > W 26/55.I4 انفورماتیک پزشکی ، سیستم ذخیره و بازیابی اطلاعات |
بخش های دانشگاهی : | دانشكده پزشكي > گروه علوم پایه > بخش مدیریت اطلاعات سلامت |
کد شناسایی : | 16696 |
ارائه شده توسط : | دکتر اسماعیل مهرآیین |
ارائه شده در تاریخ : | 11 بهمن 1401 09:28 |
آخرین تغییر : | 11 بهمن 1401 09:28 |
فقط پرسنل کتابخانه صفحه کنترل اسناد