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Prediction of Anemia from Multi-Data Attribute Co-Existence
Published 2024-01-01“…Therefore, this study has reevaluated the claims within the domain of detecting and predicting anemia with the best machine learning algorithm. Another research problem, lies with the fact that previous studies on anemia prediction utilized limited machine learning algorithms across a narrow range of datasets, whereas this current study employed numerous machine learning algorithms across a wide range of anemia datasets and tested three hypotheses. …”
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Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media
Published 2024-12-01Get full text
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AN INTELLIGENT POSTOPERATIVE CHRONIC PAIN PREDICTION SYSTEM (I-POCPP)
Published 2022-07-01Get full text
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Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain
Published 2025-03-01Get full text
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Prediction of copper contamination in soil across EU using spectroscopy and machine learning: Handling class imbalance problem
Published 2025-03-01“…To address this limitation, we conducted a comprehensive evaluation of three basic machine learning (ML) algorithms and four imbalanced ML algorithms. …”
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148
Combined L-Band Polarimetric SAR and GPR Data to Develop Models for Leak Detection in the Water Pipeline Networks
Published 2025-04-01“…The model features are selected with the Boruta wrapper algorithm based on the SAOCOM-1A images after pre-processing, and the SSRDC values at sampling locations within the research area are calculated with the reflected wave method based on the GPR data. …”
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Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning
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Improving fluoroprobe sensor performance through machine learning
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Enhancing Tire Condition Monitoring through Weightless Neural Networks Using MEMS-Based Vibration Signals
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A Machine Learning-Based Parameterized Tropical Cyclone Precipitation Model
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An integrated machine learning and fractional calculus approach to predicting diabetes risk in women
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Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype membership and predict indi...
Published 2025-08-01“…Its performance was compared with an algorithm determined based on conditional pre-determined cut-offs and weights for each clinical feature [age at diagnosis, BMI, waist, HbA1c, Serum Triglycerides, HDL-Cholesterol, (C-peptide fasting, C-peptide stimulated) - optional. …”
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Reinforcement learning-based assimilation of the WOFOST crop model
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