Diabetes Disease Detection through Data Mining Techniques
نویسندگان
چکیده
منابع مشابه
Automated detection of coronavirus disease (COVID-19) by using data-mining techniques: a brief report
Background: The clinical field has vast sick data that has not been analyzed. Discovering a way to analyze this raw data and turn it into an information treasure can save many lives. Using data mining methods is an efficient way to analyze this large amount of raw data. It can predict the future with accurate knowledge of the past, providing new insights into disease diagnosis and prevention. S...
متن کاملMalicious Code Detection through Data Mining Techniques
Nowadays computer systems and communication infrastructures are likely to be influenced by different types of attacks so there is need to put further efforts for improving the software trust. Therefore, there will be increase in necessity in the coming time, as the number of software developers and applications will likely grow very significantly. As important advances have been already made on...
متن کاملEvaluation of Data Mining Algorithms for Detection of Liver Disease
Background and Aim: The liver, as one of the largest internal organs in the body, is responsible for many vital functions including purifying and purifying blood, regulating the body's hormones, preserving glucose, and the body. Therefore, disruptions in the functioning of these problems will sometimes be irreparable. Early prediction of these diseases will help their early and effective treatm...
متن کاملDetection of Cardiac Disease using Data Mining Classification Techniques
Cardiac Disease (CD) is one of the major causes of death. An important task is to identify the Cardiac disease very minutely and precisely. Generally medical diagnostic errors are dangerous and costly. Worldwide they are leading to deaths. Data mining techniques are very important to minimize the diagnostic errors as well as to improve the patient’s safety. Data mining techniques are very effec...
متن کاملthe clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance
با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Networking and Applications
سال: 2019
ISSN: 0975-0290,0975-0282
DOI: 10.35444/ijana.2019.11012