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Evaluating feature selection methods in a hybrid Weibull Freund-Cox proportional hazards model for renal cell carcinoma
Published 2025-08-01“…The purpose is to determine which genes are dominant in RCC and evaluate the degree of efficiency of each method. Lasso, which performs rigorous selection for features, obtained quite a small set of genes, and the advantage was made in the simplicity and interpretability of the classifier. …”
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603
Lokomat-Assisted Robotic Rehabilitation in Spinal Cord Injury: A Biomechanical and Machine Learning Evaluation of Functional Symmetry and Predictive Factors
Published 2025-07-01“…Conclusions: Lokomat-assisted robotic rehabilitation demonstrates high functional symmetry and biomechanical consistency in SCI patients. Machine learning methods provided meaningful insight into the structure and predictability of outcomes, highlighting the clinical value of weight and support parameters in tailoring recovery protocols.…”
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604
Fluorodeoxyglucose-positron emission tomography in carcinoma nasopharynx: Can we predict outcomes and tailor therapy based on postradiotherapy fluorodeoxyglucose-positron emission...
Published 2016-01-01“…Materials and Methods: Forty-five patients of nonmetastatic carcinoma nasopharynx who underwent PET-CT for response evaluation at 10-12 weeks posttherapy between 2004 and 2009 were evaluated. …”
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605
Controlled Fault Current Interruption Scheme for Improved Fault Prediction Accuracy
Published 2025-03-01“…To enhance the accuracy and efficiency of controlled fault current interruption (CFI) in short-circuit current processing within power systems, a half-cycle elimination prediction algorithm and a double-sampling CFI sequence method are proposed in this study. …”
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606
Evaluation of Soumbara (Parkia biglobosa) Quality During Storage Using Mid-Infrared Spectroscopy and Physicochemical Methods
Published 2024-10-01“…The present study aims to use physicochemical, colorimetric methods and mid-infrared (MIR) spectroscopy to evaluate the evolution of the quality of Soumbara during storage (30 days). …”
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607
Development and Evaluation of a Predictive Tool for Second-Pregnancy Preterm Birth and Cervical Insufficiency in Patients With a History of Cervical Insufficiency
Published 2025-07-01“…Model interpretation was performed using SHapley Additive exPlanations (SHAP) values, and a risk scoring model was constructed based on the core features to evaluate predictive performance. …”
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Charging Scheduling Method for Wireless Rechargeable Sensor Networks Based on Energy Consumption Rate Prediction for Nodes
Published 2024-09-01“…Then, we transform the goal into Maximizing the value of the Evaluation function of each node’s Energy Consumption Rate prediction (MEECR). …”
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613
Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method
Published 2025-12-01“…Its efficiency in utilizing a minimal set of questions for prediction highlights its potential for practical application in early PTSD detection and intervention strategies.Conclusion: The CART framework demonstrates a streamlined and efficient method for predicting PTSD onset in trauma survivors. …”
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614
A Method for Estimating Instantaneous Predicted Mean Vote Under Dynamic Conditions by Accounting for Thermal Inertia
Published 2025-04-01“…We collected experimental data using a thermal comfort measurement station, a thermal manikin, and human subjects in a controlled climate chamber. The proposed method enables real-time evaluation of thermal comfort in dynamic environments and offers a foundation for integration into HVAC control and comfort optimization systems.…”
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615
A High Accuracy Spatial Reconstruction Method Based on Surface Theory for Regional Ionospheric TEC Prediction
Published 2023-12-01“…Compared with the Kriging interpolation with scale factor, the prediction accuracy of the HASR method is improved by 8.5%. …”
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616
A novel destination prediction attack and corresponding location privacy protection method in geo-social networks
Published 2017-01-01“…Experimental results show the great prediction ability of Destination Prediction approach, the effective protection capability of Check-in Deletion method against destination inference attacks, and high running efficiency of the Destination Prediction + Check-in Deletion framework.…”
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A deep learning-based hybrid method for PM2.5 prediction in central and western China
Published 2025-03-01Get full text
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618
LPBERT: A Protein–Protein Interaction Prediction Method Based on a Pre-Trained Language Model
Published 2025-03-01“…LPBERT, which is based on ProteinBERT, combines Convolutional Neural Networks, Transformer encoders, and Bidirectional Long Short-Term Memory networks to achieve efficient prediction. Upon evaluation using the BioGRID <i>H. sapiens</i> and <i>S. cerevisiae</i> datasets, LPBERT outperformed other comparison methods, where it achieved accuracies of 98.93% and 97.94%, respectively. …”
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Progressive Landslide Prediction Using an Inverse Velocity Method with Multiple Monitoring Points of Synthetic Aperture Radar
Published 2025-07-01“…Systematic stability evaluations were conducted for both single-point predictions and multi-point ensemble forecasts. …”
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