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Data mining in healthcare is one of most preferable research field in these days. In healthcare, data are coming from different sources and are continuously stored in data repositories. Healthcare organization generates vast amount of data which contains useful information. Data Mining is used for uncovering the valuable information from medical data which in turn helpful for making important decision...
One of today's most important scientific research topics is discovering the genetic links between cancers. This paper contains the results of a comparison of three different cancers (breast, colon, and lung) based on the results of feature selection techniques on a data set created from DNA micro array data consisting of samples from all three cancers. The data was run through a set of eighteen feature...
In this paper, we present a content-based image retrieval (CBIR) system called MammoSVD. This CBIR system is developed based on breast density - fatty or dense, and the database used, from the IRMA project, provides images with the ground truth already set. Singular value decomposition (SVD) is proposed for the breast density characterization by the selection of the first singular values, in order...
This paper aims to review the use of artificial neural networks (ANNs) in prediction of cancer recurrence. The sources of publications were randomly selected from PUBMED database, IEEE explore, and the google search engine with the keywords for searching as ldquorecurrencerdquo or ldquorelapserdquo or ldquodisease freerdquo + ldquoneural networkrdquo + ldquocancerrdquo. Increasing of the predictive...
Cancer is the top most death threat for human life all over the world. Current research in the cancer area is still struggling to provide better support to a cancer patient. In this research our aim is to identify the significant risk factors for particular types of cancer. First, we constructed a risk factor data set through an extensive literature review of bladder, breast, cervical, lung, prostate...
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