با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
یادگیری ماشین - machine learning
سال انتشار:
2019
عنوان انگلیسی مقاله:
Applications of machine learning in addiction studies: A systematic review
ترجمه فارسی عنوان مقاله:
کاربردهای یادگیری ماشین در مطالعات اعتیاد: یک مرور سیستماتیک
منبع:
Sciencedirect - Elsevier - Psychiatry Research, 275 (2019) 53-60: doi:10:1016/j:psychres:2019:03:001
نویسنده:
Kwok Kei Maka,⁎, Kounseok Leeb, Cheolyong Parka
چکیده انگلیسی:
This study aims to provide a systematic review of the applications of machine learning methods in addiction
research. In this study, multiple searches on MEDLINE, Embase and the Cochrane Database of Systematic
Reviews were performed. 23 full-text articles were assessed and 17 articles met the inclusion criteria for the final
review. The selected studies covered mainly substance addiction (N=14, 82.4%), including smoking (N=4),
alcohol drinking (N=3), as well as uses of cocaine (N=4), opioids (N=1), and multiple substances (N=2).
Other studies were non-substance addiction (N=3, 17.6%), including gambling (N=2) and internet gaming
(N=1). There were eight cross-sectional, seven cohort, one non-randomized controlled, and one crossover trial
studies. Majority of the studies employed supervised learning (N=13), and others employed unsupervised
learning (N=2) and reinforcement learning (N=2). Among the supervised learning studies, five studies used
ensemble learning methods or multiple algorithm comparisons, six used regression, and two used classification.
The two included reinforcement learning studies used the direct methods. These results suggest that machine
learning methods, particularly supervised learning are increasingly used in addiction psychiatry for informing
medical decisions.
Keywords: Machine learning | Supervised learning | Unsupervised learning | Reinforcement learning | Addiction
قیمت: رایگان
توضیحات اضافی:
تعداد نظرات : 0