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410 results for “Cancer”
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Research ArticleOpen accessEvery word in the titleGrasshopper Optimization Algorithm-Generative Adversarial Network for Lung Cancer Detection and ClassificationSukruth Gowda, A JayachandranLung cancer is one of the most dangerous deadly diseases for individuals worldwide. Thus, the survival rate is low due to the difficulty in detecting lung cancer at advanced stages like symptoms; thus, prominence for early diagnosis is important. The detection and treatment of lung cancer is having great importance for early diagnosis. The existing Convolution Neural Network (CNN) based … …Journal of Computer Science, Vol. 18, Issue 3 · 9 Apr 2022 · 6,575 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleA Review of Technological Progression from Radiomics to Breathomics for Early Detection of Lung CancerFunmilayo S. Moninuola, Oluwadamilola Oshin, Emmanuel Adetiba et al.Lung Cancer (LC) is formed by an uncontrolled growth of abnormal cells in the lungs, which alters the body's metabolism. Early detection of LC is very important for a better survival rate and prognosis in patients and persons at risk of the disease. Traditional approaches to LC detection are less sensitive to cancerous cells at the early stage, are invasive … …Journal of Computer Science, Vol. 17, Issue 11 · 26 Nov 2021 · 6,257 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Interval Type-2 Fuzzy Association Rule Mining Approach to Pattern Discovery in Breast Cancer DatasetOlufunke Oladipupo, Oluwole Olajide, Stephen Adubi et al.In the literature, several methods explored to analyze breast cancer dataset have failed to sufficiently handle quantitative attribute sharp boundary problem to resolve inter and intra uncertainties in breast cancer dataset analysis. In this study an Interval Type-2 fuzzy association rule mining approach is proposed for pattern discovery in breast cancer dataset. In the first part of this analysis, the … …Journal of Computer Science, Vol. 17, Issue 3 · 6 Apr 2021 · 7,164 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleClinical Significance of Precise Hyperthermic Intraperitoneal Chemotherapy Up-regulation RP11-356I2.2 Restraining the Occurrence and Development of Gastric CancerYu Yan, Feng Yanlin, Feng Jinxin et al.In order to study the therapeutic effect and possible mechanism of Precise Hyperthermic Intraperitoneal Chemotherapy (HIPEC) on gastric cancer, the expression of RP11-356I2.2 in gastric cancer cell lines and tissues was detected by real-time fluorescence quantitative PCR (RT-PCR). Chi-square test was used to analyze the correlation between the expression and clinic pathological parameters. Western blotting was used to detect the … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 2 · 4 Jun 2020 · 6,487 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Relevance of Bioinformatic Tools in the Study of Polymorphisms of the B4GALNT2 Gene and its Association with CancerEddaikra Atika, Haddouche Hayet, Touil-Boukoffa ChafiaThe human gene B4GALNT2 encodes an enzyme (β1,4-N-acetylgalactosaminyltransferase II) that controls the expression of the blood group Sda carbohydrate’s antigen. This gene is located in position 17q21,32 and consists of 11 exons. The characterization and understanding of genetic variation is a real challenge in human genetics, both for healthy individuals and diseased ones. The in silico study of the B4GALNT2 … …Current Research in Bioinformatics, Vol. 8, Issue 1 · 27 Feb 2020 · 6,767 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleONCODIAG Select and Test (ST) Algorithm: An Approximate Clinical Reasoning Model for Diagnosing and Monitoring Breast CancerO.N. Oyelade, A.A. Obiniyi, S.B. JunaiduClinical reasoning involves coordinated thinking strategies targeted at gathering and analyzing relevant information to arrive at a high-quality clinical solution to patients' medical problems. The correctness and proper choice of clinical reasoning approach chosen by a clinician or machine affect the accuracy and acceptability of the diagnosis; moreover, another challenge that usually surfaces during clinical reasoning is the burden of … …Current Research in Bioinformatics, Vol. 9, Issue 1 · 22 Feb 2020 · 8,936 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleColor Doppler Evaluation of Isovolumetric Relaxation Time and of Signals Arising from Axons of the Median Nerve as a Means to Evaluate Mitochondrial Functionality in the Context of Immunotherapy of Cancer and Chronic Conditions Associated with Mitochondrial DysfunctionStefania Pacini, Marco RuggieroReactive Oxygen Species (ROS) arising from the disruption of mitochondrial respiration act as endogenous mutagens and tumor promoters. When production of ROS exceeds the capacity of DNA repair mechanisms, random mutations and aneuploidy ensue, thousands of genes become unbalanced and genetic/epigenetic chain reactions lead to progressive aneuploidy with only two outcomes: karyotypes so altered that are not viable or karyotypes … …American Journal of Immunology, Vol. 15, Issue 1 · 12 Oct 2019 · 9,690 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Classification Models for Predicting Mortality Rate Using Thyroid Cancer DataNorah Saleh AlghamdiMachine Learning (ML) can potentially enhance predictions in real-life domains. This study presents an evaluation and comparison of different ML methods which can be applied on thyroid cancer dataset, called Prostate, Lung, Colorectal and Ovarian (PLCO), of approximately 155,000 participants with thyroid cancer occurrence and mortality incidence. The ML models are explored for predicting mortality rates of patients with thyroid … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 7,788 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of Cancer: Mesothelioma’s Disease Using Logistic Regression and Association RuleAvishek ChoudhuryMalignant Pleural Mesothelioma (MPM) or malignant mesothelioma (MM) is an atypical, aggressive tumor that matures into cancer in the pleura, a stratum of tissue bordering the lungs. Diagnosis of MPM is difficult and it accounts for about seventy-five percent of all mesothelioma diagnosed yearly in the United States of America. Being a fatal disease, early identification of MPM is crucial … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 7 Dec 2018 · 7,224 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDimensionality Reduction using Principal Component Analysis for Cancer Detection based on Microarray Data ClassificationAdiwijaya, Untari N. Wisesty, E. Lisnawati et al.Cancer is one of the most deadly diseases in the world. The International Agency for Research on Cancer (IARC) noted 14.1 million new cancer cases and 8.2 million deaths from cancer in 2012. In the last few years, DNA microarray technology has increasingly been used to analyze and diagnose cancer. Analysis of gene expression data in the form of microarray … …Journal of Computer Science, Vol. 14, Issue 11 · 15 Nov 2018 · 9,930 accessesView PDFCite