منابع مشابه
Fast k-means based on KNN Graph
In the era of big data, k-means clustering has been widely adopted as a basic processing tool in various contexts. However, its computational cost could be prohibitively high as the data size and the cluster number are large. It is well known that the processing bottleneck of k-means lies in the operation of seeking closest centroid in each iteration. In this paper, a novel solution towards the...
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Background & Aim: Detecting the abnormal performance of diabetes and subsequently getting proper treatment can reduce the mortality associated with the disease. Also, timely diagnosis will result in irreversible complications for the patient. The aim of this study was to determine the status of diabetes mellitus using data mining techniques. Methods: This is an analytical study and its databas...
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Objective: Diabetes is one of the most common metabolic diseases. Earlier diagnosis of diabetes and treatment of hyperglycemia and related metabolic abnormalities is of vital importance. Diagnosis of diabetes via proper interpretation of the diabetes data is an important classification problem. Classification systems help the clinicians to predict the risk factors that cause the diabetes or pre...
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Data mining is fast developing technology in extensive sort of applications. One of the essential data mining areas is medical data mining. Healthcare industry is a kind of industry, where huge amount of information’s and are more sensitive. That information is required to be handle very carefully without any mischievousness. There is a wealth of data presented in healthcare but there is no eff...
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The multi-factorial, chronicle, severe diseases are cancer and diabetes. As a result of abnormal level of glucose in body leads to heart attack, kidney disease, renal failure and cancer. Many studies have been proved that several types of cancer are possible in diabetes patients having a high blood sugar. Many approaches are proposed in the past to diagnose both cancer and diabetes. Even though...
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ژورنال
عنوان ژورنال: IIUM Engineering Journal
سال: 2020
ISSN: 2289-7860,1511-788X
DOI: 10.31436/iiumej.v21i1.1206