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115 results for “Cancer Data”
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Research ArticleOpen accessIn the abstractThe 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 accessIn the abstractONCODIAG 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 accessIn the abstractEnhanced Support Vector Machine based on Metaheuristic Search for Multiclass ProblemsAbdullah Saeed Ghareb, Mohammed Hamid Afif, Abdel-Rahman Hedar et al.Machine learning is an important field of artificial intelligent researches and it highly growing for real intelligent applications systems that relate brain computer interface to human brain activities. Support Vector Machine (SVM) is a popular machine learning approach, which can be used for pattern recognition, prediction and classification with many diverse applications. However, the SVM has many parameters, which have … …Journal of Computer Science, Vol. 16, Issue 7 · 9 Jul 2020 · 6,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Normal and Abnormal Lung CT-scan Images Using Cellular Learning AutomataNooshin Hadavi, Md Jan Nordin, Ali Shojaeipour, Mohammad Faidzul NasrudinThis paper proposes a medical pattern recognition system based on the Cellular automata (CA). CA or cellular machine is a dynamic mathematical model that consists of several similar and simple units organized by considerably simple local rules. Each cell acts as a simple computer automaton. This can lead to the implementation of the complex computations through uncomplicated methods. However, the … …Journal of Computer Science, Vol. 16, Issue 1 · 15 Jan 2020 · 7,834 accessesView PDFCite
EditorialOpen accessIn the abstractEditorial Commentary: Challenge of Non–AIDS-Defining Cancers (NADCs), Focusing on Trans Activation Response Element (TAR) RNA Embedding ExosomesLechuang Chen, Ge JinGlobally, 37.9 million people were living with HIV at the end of 2018 (Organization, 2018). Cancer is a major cause of mortality and morbidity in AIDS patients and chronically HIV-infected people. With the aid of combination Antiretroviral Therapy (ART), people living with HIV (PLWH) have a longer life span. However, because the virus is not completely eradicated, PLWH under antiretroviral … …American Journal of Immunology, Vol. 15, Issue 1 · 28 Nov 2019 · 6,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractONCObc-ST: An Improved Clinical Reasoning Algorithm Based on Select and Test (ST) Algorithm for Diagnosing Breast CancerOlaide Nathaniel Oyelade, Sunday Adeyemi AdewuyiThe need for an accurate reasoning algorithm is usually necessitated by the sensitivity of domain of (medicine as example) application of such algorithms. Most reasoning algorithms for medical diagnosis are either limited by their techniques or accuracy and efficiency. Even the Select and Test (ST) algorithm which is considered a more approximate reasoning algorithm is also limited by its approach … …Current Research in Bioinformatics, Vol. 8, Issue 1 · 15 Apr 2019 · 7,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal-Time Endoscopic Image Semantic Segmentation for Efficient Polyp IdentificationM. Al-AsliThe advancement of endoscopic procedures has significantly enhanced diagnostic capabilities in polyp identification and removal, which is critical for colorectal cancer prevention. However, the success of these procedures hinges on the accuracy and speed of real-time image analysis. Traditional image processing methods often fail to provide timely and precise segmentation of endoscopic images. This paper presents the implementation of endoscopic … …Journal of Computer Science, Vol. 21, Issue 10 · 10 Dec 2025 · 2,397 accessesView PDFCite
Research ArticleOpen accessIn the abstractRefining Chest X-ray Interpretation with Deep Transfer Learning TechniquesR. Sriramkumar, K. Selvakumar, J. JeganChest X-rays are essential diagnostic tools for thoracic diseases, but different doctors' interpretations can differ greatly, which frequently results in inconsistent diagnoses. By using deep transfer learning techniques, this study seeks to improve the accuracy of Chest X-ray interpretations. More accurate and effective analysis can be accomplished with the growing potential of artificial intelligence (AI) in medical imaging, especially through … …Journal of Computer Science, Vol. 21, Issue 10 · 27 Nov 2025 · 2,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpousal Interaction and Breast Cancer Screening Among Korean AmericansUsha Menon, Eunice Lee, Jennifer Kue et al.Breast cancer screening rates for Korean Americans (KA) are low, leading to higher morbidity and mortality of the screening interventions tested, almost none account for family interactions and communication between KA couples. The purpose of this study was to explore communication patterns between KA wives and husbands about breast cancer screening after attending an educational program on breast health. Couples … …International Journal of Research in Nursing, Vol. 9, Issue 1 · 30 Mar 2018 · 7,240 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Papillomavirus Genotypes in the Korean Older Adult Population Running Head: HPV Genotypes in Korean Older AdultsJieun Hwang, Hee Seung Song et al.In older populations, Human Papillomavirus (HPV) infections are likely to reactivate owing to immunocompromised, thereby increasing the risk of cervical and other cancers. However, research on HPV infection in older adults is limited and data on the sex- and age-specific distribution of high-risk HPV types are lacking. Thus, to increase the level of evidence on the extension of cervical cancer … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 1 · 6 Dec 2024 · 5,007 accessesView PDFCite