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86 results for “diagnostic test”

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Technical ReportOpen accessIn the abstractKnowledge Acquisition of Existing Buildings by Means of Diagnostic Surveying. Case StudiesGiovanna Concu, Nicoletta Trulli, Monica ValdésThe issue of assessing the structural safety of existing buildings involves several problems when a unique and reliable strategy of modelling and analyzing is looked for. This is mainly related to the peculiarity of each construction in a context of broad variety. In this light the structural model and consequently the judgment on structural safety should be derived from a … …International Journal of Structural Glass and Advanced Materials Research, Vol. 2, Issue 1 · 20 Feb 2018 · 7,320 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,051 accessesView PDFCite
Review ArticleOpen accessIn the abstractBrucellosis Management in Dairy Cattle Farms: Reviewing Programs and Addressing Challenges in Iranian Dairy Cattle FarmsMaryam Dadar, Jamal GharekhaniBrucellosis, a zoonotic infection caused by Brucella species, remains a significant public health issue, affecting both animal and human health and the economy globally. This review focuses on brucellosis in dairy cattle farms in Iran, examining its prevalence, distribution, and control strategies. A systematic review of studies from databases like PubMed, Scopus, and Google Scholar found that Brucella abortus biovar … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 25 Aug 2025 · 5,199 accessesView PDFCite
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
Case ReportOpen accessIn the abstractEvaluation of Seasonal Autoregressive Integrated Moving Average Models for River Flow ForecastingKassahun Birhanu Tadesse, Megersa Olumana Dinka, Tena Alamirew, Semu Ayalew MogesReservoir operation policies cannot be functional in instant decision making without forecasting the future reservoir inflows. For forecasting inflows into reservoirs with only hydrological data is available like Koga irrigation dam, multivariate forecasting models cannot be used to generate accurate river flow information. As a result, an evaluation of univariate Seasonal Autoregressive Integrated Moving Average (SARIMA) models was done for … …American Journal of Environmental Sciences, Vol. 13, Issue 5 · 28 Sep 2017 · 7,885 accessesView PDFCite
Review ArticleOpen accessIn the abstractInitiatives to Improve the Quality of Life of HIV Positive Diagnosed Subjects: A Review of Diagnosis, Prognosis and Therapeutics under the Light of Science and EthicsMario Enrique Molina, Jeremías Abou Medelej, Jorgelina Zucchi, Carlos ManasseroThe first cases of AIDS occurred about 1981. There are not fully appropriate therapeutic interventions for treating this medical condition. People who are diagnosed HIV-positive or with AIDS suffer a poor quality of life and receive medication that produces severe adverse reactions. We have analyzed a significant number of papers published in several countries on these topics, and we have … …American Journal of Immunology, Vol. 13, Issue 3 · 3 Aug 2017 · 9,055 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest Classification and Support Vector Machine for Detecting Epilepsyusing Electroencephalograph RecordsHeri Kuswanto, Mutiah Salamah, Muhammad Idrus FachruddinComplexity in data structure has led to the rapid development of computational statistics methods. Machine learning approaches have been introduced and applied to solve complex problems in many fields. This paper applies two common machine learning approaches, Random Forest (RF) and Support Vector Machine (SVM), in the detection of epilepsy. The diagnosis of epilepsy can usually only be made when … …American Journal of Applied Sciences, Vol. 14, Issue 5 · 4 May 2017 · 8,134 accessesView PDFCite