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84 articles for “Medical Data Analysis”
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EditorialOpen accessIn the abstractVisceral Pain: Basic Research Concepts and Therapeutic InterventionsVictor V. ChabanThe accumulation of nociceptive diseases that limit normal body functions is a major risk factor for a disability, and visceral pain is one of the most prevalent human health problems. Additionally, many pain-associated diseases are accompanied by the concomitant decline in cognitive and motor performance. The complex interplay and balance between diverse signal transduction mediators, genetic background and environmental factors … …International Journal of Research in Nursing, Vol. 6, Issue 2 · 26 Aug 2015 · 7,148 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN EFFICIENT/ENHANCED CONTENT BASED IMAGE RETRIEVAL FOR A COMPUTATIONAL ENGINEK. V. Shriram, P. L.K. Priyadarsini, Kaushik Velusamy, A. BalachandranA picture or image is worth a thousand words. It is very much pertinent to the field of image processing. In the recent years, much advancement in VLSI technologies has triggered the abundant availability of powerful processors in the market. With the prices of RAM are having come down, the databases could be used to store information on the about … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 7,266 accessesView PDFCite
Research ArticleOpen accessIn the abstractRisk Factors for Wound Complications Following AbdominoplastySamir K. JabaitiProblem Statement: Abdominoplasty has become an increasingly popular procedure. Risk factors affecting wound complications of abdominoplasty are not adequately defined in literature. Identification of these risk factors is crucial for better patient’s selection and counseling. The objectives of this study were to determine wound complication rate following abdominoplasty and to examine the relationship of a set of possible risk factors … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 8,173 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficacy of Olive Leaf Extract in the Treatment of Minor Oral Aphthous UlcersZahra Atai, Mehdi Ansari, Narjes TorabiThis research is a double blinded clinical study that tries to assay the thrapeutical effects of olive leaf extract on the oral minor aphthous ulcers in comparison with dexametasone mouth wash. The statistical society of the study was 80 patients which were equally divided into 2 groups. One group received olive leaf extract and the other group received dexametasone mouth … …American Journal of Infectious Diseases, Vol. 3, Issue 1 · 31 Mar 2007 · 7,949 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordExplainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM VisualizationD. Vetrithangam, Pramod Kumar, Shilpasree S. et al.Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learning models. To address these limitations, we propose an Explainable MedAttn-ResNet50 framework that integrates radiology-driven preprocessing, multi-scale feature extraction, and medical attention mechanisms within a unified architecture. The preprocessing pipeline applies radiology-inspired intensity normalization, contrast enhancement, and … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,120 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComparative Analysis on Prediction of Chronic KidneyDisease by various Machine Learning ModelsNikhil Verma, Tripti Sharma, Bobbinpreet Kaur, Ayush DograChronic Kidney Disease (CKD) is a prevalent global healthconcern, which is affecting a number of people in the whole world. Earlydetection & precise checking of CKD are really important for essentialsupervision & intervention to prevent disease progression and associatedcomplications. Machine learning (ML) models have emerged as favourabletools for CKD detection due to their ability to analyse complex data patternsand provide … …Journal of Computer Science, Vol. 21, Issue 6 · 24 May 2025 · 5,939 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordFederated Learning for Analysis of Medical Images: A SurveyMuhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin et al.Machine learning models trained in medical imaging can help in the early detection, diagnosis, and prognosis of the disease. However, it confronts two major obstacles: deep learning models require access to a substantial amount of imaging data, which is a hard constraint, and the patient data is private and sensitive, so it cannot be shared like 1 other imaging data … …Journal of Computer Science, Vol. 20, Issue 12 · 28 Oct 2024 · 11,824 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Comparative Computational Efficiency Analysis of LSB and Hybrid Steganographic MethodsDivya Sharma, Chander PrabhaElectronic Medical Images (EMI) are of various types such as X-rays, CT scans, MRIs, etc. EMIs are generally large, but they vary in dimensions and sizes based on the body part to which they belong. Not much research has been done to secure EMIs due to their varied and large sizes, while ensuring their accessibility for real-time transmission. Where access … …Journal of Computer Science, Vol. 21, Issue 10 · 28 Nov 2025 · 2,458 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComputing MDR-Game with Applications to Real DataJimbo Henri Claver, Takeru Suzuki, Jesus Pascal et al.Originally developed for probability and statistic purposes, Multiple Dice Rolling (MDR) game turns out to be useful for many other applications such as complex biological systems and medical research. It has been mainly used to estimate system states that cannot be observed directly. MDR game is affected by noise and fluctuations. It is widely agreed that noise in dynamic systems … …Journal of Computer Science, Vol. 14, Issue 7 · 17 Jul 2018 · 7,789 accessesView PDFCite
Research NotesOpen accessAll words, across the recordMorphometric Study of Hyssopus ambiguus Growing in the Territory of Central KazakhstanYekaterina Victorovna Lakomkina, Margarita Yulaevna Ishmuratova, Gayane Abdulhakimovna AtazhanovaThe article presents the results of the study of Hyssopus ambiguus herb, collected on the territory of Central Kazakhstan. We obtained data on diagnostic features of the studied species at morphological and anatomical levels. The purpose of the study is to determine the macro-and microscopic diagnostic features of the above-ground part of Hyssopus ambiguus. Materials and Methods: Raw material was … …OnLine Journal of Biological Sciences, Vol. 22, Issue 1 · 17 Feb 2022 · 5,936 accessesView PDFCite