An overview of diabetes diagnosis methods on the Pima Indian dataset
- سال انتشار: 1402
- محل انتشار: دوفصلنامه مرکز پژوهشی ریاضی ماهانی، دوره: 13، شماره: 1
- کد COI اختصاصی: JR_KJMMRC-13-1_027
- زبان مقاله: انگلیسی
- تعداد مشاهده: 213
نویسندگان
Department of Computer Science, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran
Department of Computer Science, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran
School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
چکیده
In recent years, data mining and machine learning methods in the medical field have received much attention and have optimized many complex issues in the medical field. One of the problems facing researchers is the appropriate dataset, and the suitable dataset on which different methods of data mining and machine learning can be applied is rarely found. One of the most reliable and appropriate datasets in the field of diabetes diagnosis is the Indian Survey Database. In this article, we have tried to review the methods that have been implemented in recent years using machine learning classification algorithms on this data set and compare these methods in terms of evaluation criteria and feature selection methods. After comparing these methods, it was found that models that used feature selection methods were more accurate than other approaches.کلیدواژه ها
Diabetes, Machine Learning, Data mining algorithms, Detection accuracy, Pima Indian datasetاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.