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Challenges in detecting and predicting adverse drug events via distributed analysis of electronic health record data from German university hospitals.
Published 2025-06-01“…This approach consisted of a local statistical data analysis at ten participating centres, followed by a mixed-effects meta-analysis. …”
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Treatment response of patients with tuberculosis and HIV co-infection: a retrospective analysis of secondary data from Shanghai, China, 2010–2020
Published 2025-02-01“…A total of 7788 valid treatment records corresponding to 17 TB drug compositions and 150 clinical indicators (each > 100 records) were used for analysis. Data mining techniques were employed, including consensus clustering, Fisher’s exact test, stratified analysis, multivariate logistic regression analysis, and three modeling approaches (logistic regression, support vector machine, and random forest). …”
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Comanagement with rheumatology and prescription biologics filled during pregnancy in women with rheumatic diseases: a retrospective analysis of US administrative claims data
Published 2022-12-01“…Objectives To evaluate comanagement with rheumatology and biological prescriptions filled during pregnancy among women with axial spondyloarthritis (axSpA), rheumatoid arthritis (RA) or psoriatic arthritis (PsA) and to examine factors associated with receiving comanagement with rheumatology during pregnancy.Design A retrospective analysis of US claims data.Setting Commercially insured enrollees using data from the 2013–2018 IBM MarketScan Commercial Claims and Encounters Database.Participants We identified 4131 pregnant women aged ≤55 years from the 2013–2018 IBM MarketScan Commercial Claims and Encounters Database with an International Classification of Disease, 9th Revision/10th Revision codes for RA, axSpA or PsA, with continuous enrolment at ≥3 months before the date of the last menstrual period (LMP) (index date) and throughout pregnancy.Primary outcomes Filled biologics (prescriptions and infusions) claims were categorised by 90 days before the LMP and trimester, as were primary care, obstetrician and rheumatological claims.Results The prevalence of axSpA, RA and PsA was 0.7%, 0.2% and 0.04% among reproductive age women. …”
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Clinical characteristics of severe influenza as a risk factor for febrile seizures in children: a retrospective analysis
Published 2024-10-01“…The predictive efficacy was evaluated by receiver operating characteristic (ROC) curve analysis.Results(1) Multiple logistic regression analysis revealed that C-reactive protein (CRP) levels, Serum interleukin 6 (IL-6) levels, Days from onset of Flu symptoms to hospitalization, cerebrospinal fluid protein (CSF-TP) levels and the influenza virus type A (FluA) infection rate were found to be independent risk factors for severe influenza combined with febrile seizures in children. (2) ROC curve analysis showed that the cut-off value of CRP, Serum IL-6, Days from onset of Flu symptoms to hospitalization and CSF-TP were 7.57 mg/L, 9.84 pg/ml, 4.5 days and 194.8 mg/L, respectively.ConclusionChildren with severe influenza with CRP ≥ 7.57 mg/L, Serum IL-6 ≥ 9.84 pg/ml, Days from onset of Flu symptoms to hospitalization ≤4.5 days, CSF-TP ≥ 194.8 mg/L and FluA had a significantly increased risk of febrile seizures. …”
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Cancelled elective operations and 28-day breaches in the NHS in England: an interrupted time series analysis of the 2002 penalty policy, 2008 recession, and COVID-19 pandemic (1994...
Published 2025-09-01“…This study investigates the impact of this policy, the 2008 global recession, and the COVID-19 pandemic on cancelled operations and breaches of the 28-day standard. Methods: We conducted a retrospective observational study using publicly available NHS England data from 1994 to 2023. …”
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Timing matters in hip fracture surgery: patients operated within 48 hours have better outcomes. A meta-analysis and meta-regression of over 190,000 patients.
Published 2012-01-01“…Heterogeneity, publication bias, bayesian analysis, and meta-regression analyses were done. Criteria for inclusion were retro- and prospective elderly population studies, patients with operated hip fractures, indication of timing of surgery and survival status.…”
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Optimizing Flight Delay Predictions with Scorecard Systems
Published 2025-05-01“…Exploratory data analysis identified key variables influencing delays, and scorecards were constructed by assigning weights, normalizing, and scaling variables to improve interpretability. …”
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Machine learning in modeling, analysis and control of electrochemical reactors: A tutorial review
Published 2025-06-01“…By identifying current gaps and future opportunities, this article provides a roadmap for leveraging ML tools to improve the analysis and operation of electrochemical reactors.…”
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Machine learning for prediction of Helicobacter pylori infection based on basic health examination data in adults: a retrospective study
Published 2025-06-01“…ObjectiveThis study aimed to investigate the feasibility of developing machine learning models for non-invasive prediction of Helicobacter pylori (H pylori) infection using routinely collected adult health screening data, including demographic characteristics and clinical biomarkers, to establish a potential decision-support tool for clinical practice.MethodsThe data was sourced from the adult health examination records within the health management centers of the hospital. …”
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THE IMPACT OF DESIGN FOR THE ENVIRONMENT PRACTICES ON OPERATIONAL PERFORMANCE: A CASE OF FOOD MANUFACTURING COMPANIES IN KENYA
Published 2024-06-01“…Data analysis was done using frequency, percentages, means, and multiple regression. …”
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THE IMPACT OF THE EU MOBILITY PACKAGE ON SMES IN THE POLISH ROAD TRANSPORT SECTOR: AN EMPIRICAL ANALYSIS
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Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images
Published 2025-06-01“…Initially, this approach prepares and pre-processes data through various augmentation methods to increase the dataset size. …”
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Efficiency evaluation of Taiwan’s commercial banks after IFRS adoption: A two-system network data envelopment approach
Published 2025-01-01“…This study introduces an extended non-convex two-system network data envelopment analysis (DEA) model, which decomposes the production process into two sub-processes: profitability and marketability stages. …”
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A data-centric approach to terminal unit’s fault categorization and optimal positioning in building HVAC systems using ensemble learning
Published 2025-05-01“…Abstract This paper focuses on the fault detection and diagnosis of terminal units (TUs) in a building located in London, utilizing real operational historical data to assess their performance and optimal placement across multiple floors. …”
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