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68 articles for “AUC”
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Research ArticleOpen accessIn the abstractApplication of a Beta Regression Model for Covariate Adjusted ROCXing Meng, J.D. TubbsThe Receiver Operating Characteristic (ROC) curve and the area under the ROC (AUC) are widely used in determining the diagnostic capability of a binary classification procedure. Since the test performance is affected by covariates, the ROC and AUC have been utilized in a Generalized Linear Regression (GLM) setting. In this study, we revisit a problem where the AUC regression model … …Current Research in Biostatistics, Vol. 10, Issue 1 · 18 Jun 2020 · 13,966 accessesView PDFCite
Literature ReviewOpen accessIn the abstractCystatin C as a New Biomarker in Patients with Chronic Kidney Disease a Review and Meta-AnalysisLingxin Bao, Qiaoyan Zhou, Yanfang Lin et al.The objective of this study was to evaluate the correlation between cystatin C (CysC) and patients with Chronic Kidney Disease (CKD). Prospective or retrospective cohort studies which compared the levels of CysC in patients with CKD and healthy controls were searched on PubMed, Contents, CINAHL and EMBASE from 2013 to December 31, 2020. R3.5.2 software was utilized to perform data … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 3 · 12 Oct 2021 · 6,568 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Literature Review of Software Defect Prediction Using Deep LearningAhmed Bahaa, Enas Mohamed Fathy, Ahmed Sharaf Eldin et al.The approaches associated with software defect prediction are used to reduce the time and cost of discovering software defects in source code and to improve the software quality in the organizations. There are two approaches to reveal the software defects in the source code. The first approach is concentrated on the traditional features such as lines of code, code complexity, … …Journal of Computer Science, Vol. 17, Issue 5 · 22 May 2021 · 10,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractKRLSMDA: Identifying Human miRNA–Disease Association Based on Similarity and Kronecker Regularized Least Squares MethodLingzhi Zhu, Weimin Gao, Guixiang Li et al.A growing number of studies have suggested that miRNAs (microRNAs) have associations with human diseases, the design and discovery of drug. But so far, we do not yet fully understand the molecular mechanism of miRNAs in the development of human diseases. Predicting miRNA-disease associations is helpful for understanding the molecular mechanism of miRNAs in the development of human diseases. However, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 15 Mar 2021 · 6,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Microbe-Drug Association based on Similarity and Semi-Supervised LearningLingzhi Zhu, Jun Wang, Guixiang Li et al.Increasing clinic evidences have showed that microbial communities play important roles in human health and disease. Predicting hidden microbe-drug associations can be helpful in understanding the microbe-drug association mechanisms in clinical treatment, drug discovery, combinations and repositioning. Some computational methods were proposed to predict the associations of microbes and drugs. However, the prediction performance of these methods needs to be … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 9 Mar 2021 · 7,535 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparing the Diagnostics Accuracy of CD4+ T-Lymphocyte Count and Percent as a Surrogate Markers of Pediatric HIV DiseaseMusie Ghebremichael, Haben Michael, Jack Tubbs, Elijah PaintsilThe percentage CD4+ T-lymphocytes is used to monitor pediatric HIV disease. However, in resource-limited settings, enumerating the percentage of CD4+ T-lymphocytes is hampered by the lack of laboratory infrastructure and trained technicians. In this paper, we investigated the performances of the percentage and absolute CD4+ T-lymphocytes as markers of pediatric HIV disease progression using data from HIV-infected children enrolled through … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 3 Apr 2019 · 7,521 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictors of Technology Deployment Among Malaysian TeachersNaresh Kumar, Raduan Che Rose, Jeffrey Lawrence D’SilvaTechnologies advocate researchers had identified a number of factors that affect individual teachers' usage of computers. Nevertheless mix results were reported in literature. Hence, this study used personal characteristics and the technology acceptance constructs to understand the Actual Usage of Computer (AUC) among Malaysian teachers. The final model derived from this study was able to explain and predict approximately 54.5% … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,031 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Efficacy of Karkadeh Tea in Controlling Post-Prandial Blood Glucose LevelsAdrian Paul Harrison, Ross Gordon Cooper, Moustafa Ahmed Suliman, Usama AlAlamiProblem statement: Increasing interest from the general public to use herbal remedies, exposes a considerable need to document ancient medical practices, as well as to investigate the efficacy of “ancient” compounds currently reputed to have medicinal benefits for such diseases as diabetes and obesity. Approach: In order to investigate the efficacy of “karkadeh” Roselle-Hibiscus sabdariffa tea as a means of … …American Journal of Pharmacology and Toxicology, Vol. 4, Issue 4 · 31 Dec 2009 · 9,430 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnbalance Quantitative Structure Activity Relationship Problem Reduction in Drug DesignD. Pugazhenthi, S. P. RajagopalanProblem statement: Activities of drug molecules can be predicted by Quantitative Structure Activity Relationship (QSAR) models, which overcome the disadvantage of high cost and long cycle by employing traditional experimental methods. With the fact that number of drug molecules with positive activity is rather fewer than that with negatives, it is important to predict molecular activities considering such an unbalanced … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,704 accessesView PDFCite
Research ArticleOpen accessIn the abstractBridging Innovation and Access: Randomized, Single-Dose, Open-Label, Parallel-Group Bioequivalence Study of Generic and Innovator Injection Semaglutide in IndiaMayur Madhav Mayabhate, Nitin Kapure, Akhilesh Sharma, Radhakrishna VaddemSemaglutide, a long-acting Glucagon-Like Peptide-1 (GLP-1) receptor agonist, is effective in improving glycemic control, reducing body weight, and lowering cardiovascular risk in Type 2 Diabetes Mellitus (T2DM). Limited accessibility of the innovator formulation underscores the need for bioequivalent generic alternatives. To assess the pharmacokinetic bioequivalence of a synthetic Semaglutide Injection (2 mg/1.5 mL) developed by Alkem Laboratories Ltd., India, compared … …American Journal of Pharmacology and Toxicology, Vol. 20, Issue 1 · 20 Apr 2026 · 2,626 accessesView PDFCite