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43 results for “diagnostic tool”
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Review ArticleOpen accessPhrase in the titleRecent Advances in Point of Care Diagnostic Tools: A ReviewLaura Wessels, Haider RaadGlobally, there is a great need for portable, inexpensive diagnostic tools that can provide quick, accurate results using relatively small sample volumes. Point-Of-Care (POC) measurements of human saliva, sweat and/or blood capable of detecting glucose levels, foreign pathogens such as bacteria, fungi and many different viruses (HIV, Ebola, Influenza, etc.) that use microfluidics and optofluidics are close to commercial availability. … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 28 Nov 2016 · 8,234 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn Assessment of Echocardiography as a Diagnostic Tool for Dilated Cardiomyopathy in Turkey (Meleagris gallopavo)Davida Kamara, Kwaku Gyenai, Tuoyu Geng et al.Our understanding of the etiology of Dilated Cardiomyopathy (DCM), which affects about 5% of turkeys, is limited. This limitation may be due to the lack of an easy-to-use diagnostic tool with well-defined parameters and does not involve necropsy. This lack of a widely tested non-necropsy method makes it difficult for a large-scale study of the genetic factors that underlie DCM. … …American Journal of Animal and Veterinary Sciences, Vol. 7, Issue 3 · 15 Aug 2012 · 8,451 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEstimation Methods for Multicollinearity Proplem Combined with High Leverage Data PointsMoawad El-Fallah, Abd El-SallamProblem statement: Least Squares (LS) method has been the most popular method for estimating the parameters of a model due to its optimal properties and ease of computation. LS estimated regression may be seriously affected by multicollinearity which is a near linear dependency between two or more explanatory variables in the regression models. Although LS estimates are unbiased in the … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 18 May 2011 · 7,617 accessesView PDFCite
Research ArticleOpen accessIn the keywordsJapanese Encephalitis Virus: An Emerging PathogenSneham Tiwari, Sai V.P. Chitti, Asha Mathur, Shailendra K. SaxenaJapanese Encephalitis Virus (JEV) is a flavivirus maintained in a zoonotic cycle which involves pigs, birds and Culex species of mosquitoes causing fatal encephalitis endemic most of Asia and as far as Australia from its putative origin in Indonesia and Malaysia. The principle vector is Culex mosquito, most important being Culex tritaenorhynchus, present in greatest density in rainy season (June … …Current Research in Virology, Vol. 1, Issue 1 · 2 Aug 2012 · 14,902 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Disease Progression Model to Analyze Electronic Health Records With Multimodal Datasets Using Deep Learning TechniquesThulaganyo Dimakatso, Venumadhav Kuthadi, Rajalakshmi Selvaraj, Othapile DinakenyaneIn contemporary clinical environments, precisely simulating the emergence of disease is an intricate task owing to heterogeneously derived data and variability in the record of diagnoses. The research presents a stable classification model that integrates image data with formalized patient data to track patterns in disease through various stages. The suggested approach combines a multi-stage analytical methodology that includes systematic … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,678 accessesView PDFCite
Research ArticleOpen accessIn the abstractDecoding Lung Cancer: PLAU as a Critical Driver and Diagnostic MarkerStanley Cho, Min Gyeong KimLung cancer remains a leading cause of cancer-related mortality, and understanding its underlying molecular mechanisms is critical for developing targeted therapies. We developed a novel tool called the Transcriptome-TCGA Integration (TTI), which combines in vitro transcriptome data with clinical datasets from the Cancer Genome Atlas (TCGA). TTI allows for the identification of key genes and pathways involved in lung cancer, … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 15 Feb 2026 · 1,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing the Comparative Effectiveness of Ensemble CatBoost Versus XGBoost Models in Predicting Heart Disease OutcomesManivannan D., G. Gifta Jerith, G. Chandra Sekhar et al.Cardiovascular Diseases (CVDs) are a common form of heart disease that remains a significant global cause of mortality, responsible for more than 30% of all fatalities. Without intervention, the global fatality count is projected to reach 22 million by 2030. Arterial plaque buildup may impede blood flow, potentially causing heart attacks or strokes. A combination of risk causes, including lack … …Journal of Computer Science, Vol. 22, Issue 4 · 4 May 2026 · 1,544 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An AppraisalKavery Verma, Subodh Srivastava, Ritesh Kumar MishraDigital medical images acquired from the brain are highly susceptible to noise, which causes significant challenges for radiologists to identify abnormalities in a precise manner. Noise interference hampers both diagnostic accuracy and the interpretation of underlying abnormalities, potentially leading to flaw conclusions. Magnetic Resonance (MR) imaging is the most preferred digital imaging technique for brain abnormality detection. To achieve precise … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,462 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine-Tuned and Optimized Transformer-Based Model for EEG Seizure DetectionPuspanjali Mallik, Ajit Kumar Nayak, Kumar Janardan Patra et al.Epilepsy, a widely recognized neurological disorder, results from irregularities in the transmission of electrical impulses among neurons in the brain. Over the last two decades, significant efforts have been made by researchers and clinicians to develop effective methods for its early detection and management. The electroencephalogram (EEG), a non-invasive tool used to monitor brainwave activity, has become a central device … …Journal of Computer Science, Vol. 21, Issue 11 · 11 Feb 2026 · 1,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractCuckoo Search Optimized Random Forest for Breast Cancer PrognosisPrasad S. Sase, Debabrata Swain, Shailesh KumarBreast cancer remains a major global health concern due to its high mortality rate, particularly when diagnosis occurs at an advanced stage. Accurate and early differentiation between benign and malignant tumors is therefore critical for improving patient outcomes. Conventional diagnostic practices largely depend on manual assessment and clinical expertise, which may lead to subjective variability in decision-making. To overcome this … …Journal of Computer Science, Vol. 22, Issue 1 · 31 Jan 2026 · 2,098 accessesView PDFCite