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115 results for “Cancer Data”
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Research ArticleOpen accessIn the abstractGENERALIZED REGRESSION NEURAL NETWORK BASED EXPERT SYSTEM FOR HEPATITIS B DIAGNOSISC. Mahesh, E. Kannan, M. S. SaravananHepatitis B is a potentially life-threatening liver infection caused by the hepatitis B virus. The virus interferes with the function of the liver while replicating in hepatocytes. It is a major global health problem and the most serious type of viral hepatitis. Chronic liver disease is caused by viral hepatitis and putting people at high risk of death from cirrhosis … …Journal of Computer Science, Vol. 10, Issue 4 · 3 Dec 2013 · 6,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Rough Set based Gene Expression Clustering AlgorithmJ. Jeba Emilyn, K. RamarProblem statement: Microarray technology helps in monitoring the expression levels of thousands of genes across collections of related samples. Approach: The main goal in the analysis of large and heterogeneous gene expression datasets was to identify groups of genes that get expressed in a set of experimental conditions. Results: Several clustering techniques have been proposed for identifying gene signatures and … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,830 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Independent Rough Set Approach Hybrid with Artificial Bee Colony Algorithm for Dimensionality ReductionNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Dimensionality reduction is viewed as an important pre-processing step for pattern recognition and data mining. As the classical rough set model considers the entire attribute set as a whole to find the subset, comparing all possible combinations of sets of attributes is difficult. Approach: In this study, we have introduced an improved Rough Set-based Attribute Reduction (RSAR) namely … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 8,334 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasure for No Three-Factor Interaction Model in Three-Way Contingency TablesKouji Yamamoto, Kyoji Hori, Sadao TomizawaProblem statement: For 2×2×K contingency tables, the measure is considered to represent the degree of departure from a log-linear model of No Three-Factor Interaction (NOTFI). We are interested in considering a similar measure for general I×J×K contingency tables. Approach: The present study proposed a measure to represent the degree of departure from the NOTFI model for I×J×K contingency tables. Also … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 7,783 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach of Texture Feature and Gradient Orientation for Computer Aided Diagnosis System Based on Breast Density ClassificationNujum Alabdulali, Alanod Bin Dris, Fatimah Alqahtani, Aseel Bin OthmanA Computer-Aided Diagnosis (CAD) system can perform an accurate diagnosis and help radiologists by presenting a second opinion about breast density. However, the development of a robust CAD system for breast density classification is still an open problem. In this study, we proposed a CAD system based on hybrid intelligent machine learning technique for automatic classification of breast density on … …Journal of Computer Science, Vol. 16, Issue 10 · 1 Nov 2020 · 6,759 accessesView PDFCite
Research ArticleOpen accessIn the abstractPolyherbal EMSA ERITIN Blocks Nuclear Factor-Kappa B (NF-κB) and Proinflammatory Cytokines in Irradiated MiceYuyun Ika Christina, Mansur Ibrahim, Muhaimin Rifa’iRadiation therapy is commonly used in cancer treatment that produce deleterious effects, such as normal cell death (apoptotic or necrotic) and suppression of hematopoietic stem cells. This effect was caused by ion rays that can rise to high of free radical. The high of free radical trigger the inflammation of cells. EMSA ERITIN is medicinal herb used as preventative agents … …American Journal of Immunology, Vol. 11, Issue 1 · 29 May 2015 · 7,518 accessesView PDFCite
Research ArticleOpen accessIn the abstractDermoscopic Image Segmentation using Machine Learning AlgorithmL. Padma Suresh, K.L. Shunmuganathan, S.H. Krishna VeniProblem statement: Malignant melanoma is the most frequent type of skin cancer. Its incidence has been rapidly increasing over the last few decades. Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Approach: This study explains the task of segmenting skin lesions in … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,342 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 30 Year Old Man with Fever and Indolent Soft Tissue MassesWissam Zaeeter, Ashwin Jathavedam, Rosalyn StahlAbstract: Problem statement: Multifocal Skeletal Tuberculosis (MSTB) is a rare presentation of skeletal tuberculosis. The indolent nature of this condition often leads to delayed or missed diagnosis, sometimes with devastating consequences for the patient. In order to provide meaningful clinical information and to highlight pitfalls in diagnosis of MFST, we present a case of MSTB. A review of this condition … …American Journal of Infectious Diseases, Vol. 6, Issue 3 · 30 Sep 2010 · 7,713 accessesView PDFCite
Research ArticleOpen accessIn the abstractScreening of Breast Mass in Iraqi Females: Al-Kindy Hospital Breast ClinicWijdan AkramProblem statement: The aim of this study is to present the findings of a retrospective analysis in females with breast mass, the character of the women and the risk factors of breast cancer at Al-Kindy Breast Clinic Center. Approach: Data were collected during 2 months period using special form of questioner. The total number of studied sample was 60, which … …American Journal of Infectious Diseases, Vol. 5, Issue 4 · 31 Dec 2009 · 6,803 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Widely Used Diagnostics "DNA Microarray"-A ReviewR. Manoj KumarProblem statement: DNA microarray technique is one of the latest advances in the field of molecular biology and medicine. It is a multiplex technique used in combination of bioinformatics and statistical data analysis. Since, 1995, the technique offers the possibility of conducting tens or hundreds of thousands of simultaneous hybridizations. Approach: This increased experimental efficiency permits high throughput and whole … …American Journal of Infectious Diseases, Vol. 5, Issue 3 · 30 Sep 2009 · 7,787 accessesView PDFCite