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115 results for “Cancer Data”
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Research ArticleOpen accessIn the abstractEfficient Classification of Cancer using Support Vector Machines and Modified Extreme Learning Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The primary objective is to propose efficient cancer classification techniques which provide reliable and significant classification accuracy. To achieve this primary research goal is to find the smallest set of genes that can ensure high accuracy in classification using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: (a) The computational burden and … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 22 Oct 2011 · 7,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractCancer Classification using Support Vector Machines and Relevance Vector Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The objective of this study is, to find the smallest set of genes that can ensure highly accurate classification of cancer from micro array data by using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: The computational burden and noise arising from irrelevant genes are much reduced; the cost for cancer testing … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,593 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Descriptive Framework for the Multidimensional Medical Data Mining and RepresentationVeeramalai Sankaradass, Kannan ArputharajProblem statement: Association rule mining with fuzzy logic was explored by research for effective datamining and classification. Approach: It was used to find all the rules existing in the transactional database that satisfy some minimum support and minimum confidence constraints. Results: In this study, we propose new rule mining technique using fuzzy logic for mining medical data in order to … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,932 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Missing Attribute Values Using k-Means ClusteringNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Predicting the value for missing attributes is an important data preprocessing problem in data mining and knowledge discovery tasks. Several methods have been proposed to treat missing data and the one used more frequently is deleting instances containing at least one missing value of a feature. When the dataset has minimum number of missing attribute values then we … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,873 accessesView PDFCite
Research ArticleOpen accessIn the abstractEarly Diagnosis of Breast Cancer using Molecular, Biochemical and Pathological MarkersSalah El-Din El-Assal, Adel A. El-Tarras, Samir M. Abd-allaProblem statement: Laboratory diagnosis of breast cancer in most of the hospitals has traditionally been performed using cell culture and the direct hormone receptor assay, which are money and time consuming. Approach: This study was performed in order to direct the attention toward increasing the efficiency of early diagnosis in clinical laboratories at the western region of KSA and Egypt … …American Journal of Applied Sciences, Vol. 8, Issue 1 · 31 Jan 2011 · 8,056 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Computer Aided Diagnosis System for Lung Cancer Detection\Using Support Vector MachineM. Gomathi, P. ThangarajProblem statement: Computer Tomography (CT) has been considered as the most sensitive imaging technique for early detection of lung cancer. Approach: On the other hand, there is a requirement for automated methodology to make use of large amount of data obtained CT images. Computer Aided Diagnosis (CAD) can be used efficiently for early detection of Lung Cancer. Results: The usage … …American Journal of Applied Sciences, Vol. 7, Issue 12 · 31 Dec 2010 · 8,285 accessesView PDFCite
Research ArticleOpen accessIn the abstractInhibition of U6 snRNA Transcription by PTENStephanie Cabarcas, Kounosuke Watabe, Laura SchrammProblem statement: RNA polymerase III (RNA pol III) is responsible for transcribing many of the small structural RNA molecules involved in RNA processing and protein translation, thereby regulating the growth rate of a cell. RNA pol III transcribes both gene internal (tRNA) and gene external (U6 snRNA) promoters and proper initiation by RNA polymerase III requires the transcription initiation factor … …OnLine Journal of Biological Sciences, Vol. 10, Issue 3 · 30 Sep 2010 · 8,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractSkin Images SegmentationAli El-ZaartProblem statement: Image segmentation is a fundamental step in many applications of image processing. Skin cancer has been the most common of all new cancers detected each year. At early stage detection of skin cancer, simple and economic treatment can cure it mostly. An accurate segmentation of skin images can help the diagnosis to define well the region of the … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Jul 2010 · 7,023 accessesView PDFCite
Research ArticleOpen accessIn the abstractCefepime Monotherapy is as Effective as Ceftriaxone Plus Amikacin in Pediatric Patients with Cancer and High-Risk Febrile Neutropenia: A Randomized ComparisonCarlos Alberto Pires Pereira, Antonio Sérgio Petrilli, Fabianne Altruda Carlesse et al.The empirical use of antibiotic therapies is widely accepted in patients with fever and neutropenia during cancer chemotherapy. The use of intravenous monotherapy with broad-spectrum antibiotics in patients with high-risk of complications is an appropriate alternative. However, few data are available in pediatric patients. We conducted a prospective, randomized, open study in patients with lymphoma or leukemia who had fever … …American Journal of Infectious Diseases, Vol. 4, Issue 4 · 31 Dec 2008 · 7,404 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Technique to Detect the Region of Interests in Mammogram ImagesMoussa H. Abdallah, Ayman A. AbuBaker, Rami S. Qahwaji, Mohammed H. SalehProblem Statement: Breast cancer is the second leading cause of cancer deaths in women today after lung cancer and is the most common cancer among women. The development of efficient technique to early detect the region of microcalcifications mammogram images is a must. Approach: The method proposed in this paper is to enhance the Computer Aided Diagnosis (CAD) performance. This … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,629 accessesView PDFCite