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Integrative machine learning model for subtype identification and prognostic prediction in lung squamous cell carcinoma
Published 2025-05-01“…Traditional prognostic factors, like tumor, node, and metastasis (TNM) staging, offer limited predictive accuracy. This study aims to identify LUSC subtypes and develop predictive models that have the potential to improve prognosis prediction accuracy and support personalized treatment. …”
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Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy.
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Dynamics of Worm Propagation Model in Complex Networks Considering Benign Worm and Link Prediction Approach
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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction
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Prediction of sleep disorders using Novel decision support neutrosophic based machine learning models
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Predicting Wind Turbine Blade Tip Deformation With Long Short‐Term Memory (LSTM) Models
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Animal-sourced model of human norovirus infection predicted using environmental DNA metabarcoding analysis
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A Personal Credit Rating Prediction Model Using Data Mining in Smart Ubiquitous Environments
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Design of a machine (federated) learning based generalized model for predicting drying kinetics of foods
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Successive spike times predicted by a stochastic neuronal model with a variable input signal
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jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks
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