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Kalman filtering assimilated machine learning methods significantly improve the prediction performance of water quality parameters
Published 2025-12-01“…Accurate water quality prediction is essential for effective water pollution prevention and emergency responses. …”
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582
Accuracy of machine learning methods in predicting prognosis of patients with psychotic spectrum disorders: a systematic review
Published 2025-02-01“…Objectives We aimed to examine the predictive accuracy of functioning, relapse or remission among patients with psychotic disorders, using machine learning methods. …”
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583
Evaluation of Flavor Type of Tobacco Blending Module: A Prediction Model Based on Near-Infrared Spectrum
Published 2023-01-01“…Therefore, the proposed method of predicting flavor types based on near-infrared spectral features plays a valuable role in facilitating rapid positioning, scientific evaluation, and cigarette formulation design for tobacco blending modules, thereby assisting decision-making processes in the tobacco industry.…”
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584
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585
An In Situ Characterisation Method for 3-D Electrospun Foams
Published 2025-02-01“…Finally, this fast in situ evaluation method can replace the post-fabrication time-consuming one. …”
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586
Assessing dengue forecasting methods: a comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil
Published 2025-04-01“…Ensemble approaches that integrated the top performing methods were also considered. The evaluated methods also incorporated lagged climatic variables to account for delayed effects. …”
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587
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588
Hereditary angioedema diagnosis evaluation score (HADES): A new clinical scoring system for predicting hereditary angioedema with C1 inhibitor deficiency
Published 2025-05-01“…Methods: The HADES (HAE diagnosis evaluation score) study used a nationwide retrospective cohort of individuals with suspected HAE-C1INH in Argentina. …”
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589
Evaluation of Inflammatory Markers and Clinical Outcomes in COVID-19 Patients with Concurrent <i>Clostridioides difficile</i> Infection: A Comparative Cohort Analysis
Published 2025-01-01“…This study aimed to evaluate the inflammatory status and clinical outcomes of patients hospitalized with COVID-19, with and without <i>C. difficile</i> co-infection, and to identify the inflammatory markers most predictive of severe disease. …”
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590
Evaluation of Ground Displacements Caused by Installing Jet Grouted Columns Using Machine Learning Methods
Published 2020-01-01Get full text
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591
Using machine learning methods for long-term technical and economic evaluation of wind power plants
Published 2025-03-01Get full text
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592
Comparative Evaluation of Preprocessing Methods for MobileNetV1 and V2 in Waste Classification
Published 2025-05-01Get full text
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593
Comprehensive evaluation of methods for identifying tissues or cell types of origin of the plasma cell-free transcriptome
Published 2025-04-01“…We also evaluated the methods’ accuracy on real plasma cfRNA data by analyzing the correlation between the predicted cell proportions and the corresponding clinical indicators. …”
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594
CONTEMPORARY METHODS FOR MYOCARDIAL FUNCTION EVALUATION IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY BEFORE AND AFTER SURGICAL TREATMENT
Published 2014-05-01“…To invent and qualify a diagnostic algorhythm for systolic and diastolic myocardium function evaluation in the left ventricle in patients with hypertrophic cardiomyopathy before and after surgical treatment.Material and methods. …”
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595
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596
Application of PCA plus OPLS method in rapid reserve production rate prediction of shale gas wells
Published 2023-08-01“…To achieve this goal, a novel approach is introduced, which couples principal component analysis(PCA) and orthogonal partial least square(OPLS) analysis, enabling rapid and accurate prediction of reserve production degree. The new method is put to the test using Zhaotong shale gas well samples to evaluate its effectiveness in predicting reserve recovery ratios. …”
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597
Evaluating AUC estimators across complex sampling designs: insights from COVID-19 patient data
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598
Comparative Analysis of the Proportional Distribution Method and the Random Forest Algorithm for Predicting Pedestrian Traffic Accident Risk
Published 2025-01-01“…The risk of pedestrian-involved traffic accidents represents a significant challenge to road safety and necessitates objective methods for analyzing the contributing factors. This study presents a comparative analysis of two methodologies for predicting the risk of pedestrian traffic accidents: a methodology based on proportional risk distribution and the Random Forest algorithm. …”
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599
A novel geometric heart rate variability mapping method for enhanced bradycardia prediction in preterm infants
Published 2025-06-01“…The proposed mapping method shows robustness in predicting bradycardia with high sensitivity, specificity, and accuracy. …”
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600
Comparison between the NASCET method and subjective visual impression in the evaluation of internal carotid artery stenosis
Published 2001-01-01“…The degree of stenosis in both sides (symptomatic and asymptomatic) were evaluated by the same neuro-radiologist who gave his SVI and applied the NASCET method immediately after. …”
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