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21 articles for “Diagnostic Strategies”
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Research ArticleOpen accessIn the abstractImproving Diabetes Risk Prediction Using Ensemble Boosting and SMOTE-Based Class BalancingKittipol Wisaeng, Pankom Sriboonlue, Benchalak MuangmeesriAccurate diabetes prediction is vital for early intervention, optimized resource allocation, and minimizing long-term complications. This study presents a comparative evaluation of traditional and advanced machine learning models for diabetes classification using a structured clinical dataset. Seven baseline algorithms were assessed against five advanced ensemble methods: CatBoost, LightGBM, XGBoost, Voting Ensemble, and Stacking Ensemble. To improve algorithm learning, the Synthetic … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Feb 2026 · 1,984 accessesView PDFCite
Research ArticleOpen accessIn the abstractSex-Based and Age-Specific Trends in Gardnerella vaginalis Infection: An Epidemiological Study in Republic of Korea, 2018-2022Hyeok-Jin Kwon, Sun-Gyu Kim, Junmin Lee et al.Sexually Transmitted Infections (STIs) are an important global public health issue caused by various pathogens. STI symptoms can manifest at different times, depending on the sex, age, and infection route. Here, we aimed to assess the occurrence of STIs in the Republic of Korea, explore associated global trends, and identify pathogens with high positivity rates to inform future health policies. … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 29 Jan 2026 · 1,934 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrevalence of Diarrhea-Causing Pathogens in South Korea Analyzed Using Molecular Diagnostic MethodsYonghee Lee, Jae Kyung KimGastrointestinal inflammation remains a prevalent global health concern. Prompt and accurate diagnosis of the condition is required to mitigate health risks in immunocompromised individuals and alleviate the economic burden linked to treatment and pathogen isolation. Challenges posed by traditional culture tests, such as long detection time and inability to isolate low-abundance organisms, can be overcome using molecular diagnostic methods, which … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 2 · 25 Jul 2024 · 5,012 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,275 accessesView PDFCite
Review ArticleOpen accessIn the abstractUnveiling the Impact of Endogenous Sialidases on Human Non-Infectious Disease PathogenesisRaisa Sergeevna Surkova, Anastasia Vladimirovna Poznyak, Dmitry Alexandrovich Kashirskikh et al.In our review, we have compiled existing information regarding the role of endogenous sialidases (neuraminidases) in the initiation and development of various non-infectious processes in humans. Precisely, pathologies of the cardiovascular system, tumor formations, neurological and metabolic disorders, and hereditary diseases. Sialidases appeared to be widely involved in a variety of human pathologies. An increase or decrease in the enzymatic … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 10 Feb 2024 · 4,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Robust Ensemble Convolutional Neural Networks for Diagnosing Chest DiseasesMansour Ali Alhlalat, Ahmad Abdel-Aziz Sharieh, Mohammed Belal Al-ZoubiRadiologists employ X-ray images to differentiate various chest diseases. Given the intricate and meticulous nature of this diagnostic procedure, the assistance of automated models becomes imperative in detecting and diagnosing diseases from X-ray images. This research paper proposed a novel approach called Ensemble Convolutional Neural Network for Diagnosing Chest Diseases (ECDCNet), aimed at accurately and efficiently diagnosing fifteen different chest … …Journal of Computer Science, Vol. 19, Issue 12 · 27 Oct 2023 · 5,108 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 2: and SGAMR Goes!Chiara Bedon, Mario D’Aniello, Flavio StochinoThe year 2018 starts with a great confirmation for SGAMR! The journal has been selected to host the extended version of some selected papers presented during the 6th International Workshop on Design in Civil and Environmental Engineering (DCEE2017), held at the University of Cagliari (Italy) during November 2017. A summary of selected papers from highly ranked, international scientists can be … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 28 Aug 2020 · 5,741 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 · 7,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractA BIO-SURVEILLANCE SYSTEM USING EFFICIENT ALGORITHM FOR INFORMATION SHARING APPLICATIONSShobhanjaly P. Nair, K. Silambarasan, N. Bindhu, R. SrinivasanBio-Surveillance represents a health information system for public that stores and integrates health related information and data across a variety of data. Bio-surveillance strategies are projected for detection of disease outbreaks from existing diagnostic data, but their performance is typically not understandable. The focus of the paper is to develop a bio-surveillance system which can serve the aim of biosurveillance … …Journal of Computer Science, Vol. 10, Issue 7 · 17 Jun 2014 · 7,044 accessesView PDFCite
Research ArticleOpen accessIn the abstractPlatelets, Coagulation and Cancer: Multifaceted InteractionsT. Burnouf, H. A. GoubranApproach: Literature review of the multifaceted interactions between platelets, coagulation and cancer. Results: Over the years, the links existing between cancer development, progression and occurrence of metastasis on one side and coagulation on the other have become obvious. Tumors seems to activate platelets whereas, platelets, on the other hand, through their capacity to activate and release soluble factors and microparticles, … …Current Research in Medicine, Vol. 3, Issue 2 · 30 Jul 2012 · 7,618 accessesView PDFCite