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Cerebrospinal Fluid Leakage Combined with Blood Biomarkers Predicts Poor Wound Healing After Posterior Lumbar Spinal Fusion: A Machine Learning Analysis
Published 2024-11-01“…The data was divided into test and validation groups in a 7:3 ratio. In the test group, logistic regression analysis, support vector machine (SVM), random forest (RF), decision tree (DT), XGboost, Naïve Bayes (NB), k-Nearest Neighbor (KNN), and Multi-Layer Perceptron (MLP) were used to identify specific variables. …”
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142
Lessons from the PROTECT-CH COVID-19 platform trial in care homes
Published 2025-04-01Get full text
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143
Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield
Published 2023-01-01“…The technology has developed to rectify the problems using some machine learning algorithms like Random Forest algorithms, Decision trees, Naïve Bayes, KNN, K-Means clustering, Support vector machines. …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks
Published 2025-01-01“…The dataset focused on three typical crack categories: ordinary cracks, repaired cracks, and alligator cracks. …”
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146
Differentiation of Soybean Genotypes Concerning Seed Physiological Quality Using Hyperspectral Bands
Published 2024-12-01“…The experiment was conducted during the 2021/2022 harvest at the Federal University of Mato Grosso do Sul in a randomized block design with four replicates and 10 F3 soybean populations (G1, G8, G12, G15, G19, G21, G24, G27, G31, and G36). …”
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147
A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress
Published 2025-02-01Get full text
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148
High-flow nasal cannula therapy versus continuous positive airway pressure for non-invasive respiratory support in paediatric critical care: the FIRST-ABC RCTs
Published 2025-05-01“…The trial was approved by East of England – Cambridge South Research Ethics Committee and the UK Health Research Authority. …”
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149
Incorporating food plant distributions as important predictors in the habitat suitability model of sumatran orangutan (Pongo abelii) in Gunung Leuser National Park, Indonesia
Published 2025-04-01“…Using machine learning algorithms—support vector machine, random forest, boosted regression trees, and maximum entropy—along with an ensemble model, seven important food plants, including Ixora insularum and Calamus manan, were identified as critical predictors of habitat suitability. …”
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