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Development of a prediction model for chemotherapy and immunotherapy response in esophageal squamous cell carcinoma patients using machine learning algorithms
Published 2025-03-01“…They were randomly divided into a training set (n=122) and a testing set (n=52) in a ratio of 7∶3. CT radiomic features were extracted and selected, and then 5 machine-learning algorithms were employed to establish the prediction models, including radiomics model and clinical-radiomics model. …”
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Exploration and analysis of risk factors for coronary artery disease with type 2 diabetes based on SHAP explainable machine learning algorithm
Published 2025-08-01“…In recent years, machine learning algorithms have demonstrated significant advantages in improving predictive accuracy; however, studies applying these methods for clinical prediction and diagnosis of CHD-DM2 remain limited. …”
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Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm
Published 2025-12-01“…Experimental data show that the recommended system has excellent performance in accuracy, recall and F1 value, reaching 85.6 %, 79.2 % and 82.3 %, respectively, which is significantly improved compared with the traditional recommendation system built by standard collaborative filtering algorithm (its F1 value is only 68.5 %). …”
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Real-time freshness prediction for Apples and Lettuces using imaging recognition and advanced algorithms in a user-friendly mobile application
Published 2025-12-01“…This app utilizes image recognition technology, allowing for precise freshness assessment and estimated product lifespan. Nine deep algorithms were compared in the research for image classification including Vision Transformer (ViT), Swin Transformer, Residual Networks (ResNet), EfficientNet, ConvNeXt, DeiT, MobileNetV3, MaxViT, and TNT (Transformer in Transformer). …”
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Trajectory Tracking Control Method for AUV Planar MotionBased on Three-Level Hierarchical Speed Regulation
Published 2025-06-01“…To address this issue, this paper proposed a cooperative control strategy that integrated the adaptive line-of-sight guidance algorithm and the three-level hierarchical speed control architecture. …”
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Solving Three Objectives Single-Machine Scheduling Problem Using Fuzzy Multi-Objective Linear Programming
Published 2023-01-01“…A numerical example demonstrates the feasibility of applying the proposed model to scheduling problem, and yields a compromised solution to help the decision maker’s overall levels of satisfaction. The algorithm is tested to show the ability of applying this model to three criteria. …”
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Can We Teach Machines to Select Like a Plant Breeder? A Recommender System Approach to Support Early Generation Selection Decisions Based on Breeders’ Preferences
Published 2025-05-01“…Training machine learning algorithms with breeders’ selection decisions can thus aid breeders in their decision-making processes, particularly when integrating human and artificial intelligence in the form a recommender system to potentially reduce a breeder’s effort and the required time to find interesting selection candidates.…”
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Diagnostic Evaluation of Foreign Body Aspiration in Children
Published 2021-03-01“…The rate of negative bronchoscopy was 30.8% and 87.3% of these patients were younger than 3 years. …”
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Clinical Validation of a Computed Tomography Image-Based Machine Learning Model for Segmentation and Quantification of Shoulder Muscles
Published 2025-07-01“…<b>Materials and Methods:</b> A SwinUnetR-based ML model trained on labeled CT scans is validated by three expert shoulder surgeons for 32 unique patients. …”
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