AIMC Topic: Algorithms

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Multi-relational graph contrastive learning with learnable graph augmentation.

Neural networks : the official journal of the International Neural Network Society Sep 26, 2024
Multi-relational graph learning aims to embed entities and relations in knowledge graphs into low-dimensional representations, which has been successfully applied to various multi-relationship prediction tasks, such as information retrieval, question...
Neural Networks, Computer Machine Learning Algorithms Humans
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Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video.

Computer methods and programs in biomedicine Sep 26, 2024
BACKGROUND AND OBJECTIVES: Post-traumatic stress disorder is a debilitating psychological condition that can manifest following exposure to traumatic events. It affects individuals from diverse backgrounds and is associated with various symptoms, inc...
Video Recording Algorithms Deep Learning Facial Expression Humans Stochastic Processes Uncertainty Stress Disorders, Post-Traumatic
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Identification of Key Genes in Fetal Gut Development at Single-Cell Level by Exploiting Machine Learning Techniques.

Proteomics Sep 26, 2024
The study of fetal gut development is critical due to its substantial influence on immediate neonatal and long-term adult health. Current research largely focuses on microbiome colonization, gut immunity, and barrier function, alongside the impact of...
Fetal Development Algorithms Single-Cell Analysis Gastrointestinal Tract Humans Machine Learning Gene Expression Regulation, Developmental
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Machine learning algorithms and biomarkers identification for pancreatic cancer diagnosis using multi-omics data integration.

Pathology, research and practice Sep 26, 2024
PURPOSE: Pancreatic cancer is a lethal type of cancer with most of the cases being diagnosed in an advanced stage and poor prognosis. Developing new diagnostic and prognostic markers for pancreatic cancer can significantly improve early detection and...
Humans Machine Learning Biomarkers, Tumor Multiomics Algorithms Pancreatic Neoplasms
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Deep learning method to automatically diagnose periodontal bone loss and periodontitis stage in dental panoramic radiograph.

Journal of dentistry Sep 26, 2024
OBJECTIVES: Artificial intelligence (AI) could be used as an automatically diagnosis method for dental disease due to its accuracy and efficiency. This research proposed a novel convolutional neural network (CNN)-based deep learning (DL) ensemble mod...
Radiography, Panoramic Alveolar Bone Loss Male Humans Deep Learning Neural Networks, Computer Periodontitis Algorithms
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Drug-induced torsadogenicity prediction model: An explainable machine learning-driven quantitative structure-toxicity relationship approach.

Computers in biology and medicine Sep 26, 2024
Drug-induced Torsade de Pointes (TdP), a life-threatening polymorphic ventricular tachyarrhythmia, emerges due to the cardiotoxic effects of pharmaceuticals. The need for precise mechanisms and clinical biomarkers to detect this adverse effect presen...
Drug-Related Side Effects and Adverse Reactions Quantitative Structure-Activity Relationship Torsades de Pointes Support Vector Machine Models, Biological Machine Learning Algorithms Humans
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Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations.

Journal of chemical information and modeling Sep 26, 2024
Identifying drug-related microbes may help us explore how the microbes affect the functions of drugs by promoting or inhibiting their effects. Most previous methods for the prediction of microbe-drug associations focused on integrating the attributes...
Algorithms Bacteria Pharmaceutical Preparations Neural Networks, Computer Machine Learning
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Development and Internal Validation of Machine Learning to Predict Postoperative Worse Functional Status after Surgical Treatment for Thoracic Spinal Stenosis.

Medical science monitor : international medical journal of experimental and clinical research Sep 26, 2024
BACKGROUND The objective of this study was to develop and validate machine learning (ML) algorithms to predict the 30-day and 6-month risk of deteriorating functional status following surgical treatment for thoracic spinal stenosis (TSS). We aimed to...
Aged Male Middle Aged Retrospective Studies Female Treatment Outcome Machine Learning Spinal Stenosis Algorithms Postoperative Period Humans Postoperative Complications Thoracic Vertebrae
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Inversion model of soil salinity in alfalfa covered farmland based on sensitive variable selection and machine learning algorithms.

PeerJ Sep 26, 2024
PURPOSE: Timely and accurate monitoring of soil salinity content (SSC) is essential for precise irrigation management of large-scale farmland. Uncrewed aerial vehicle (UAV) low-altitude remote sensing with high spatial and temporal resolution provide...
Farms Algorithms China Support Vector Machine Soil Remote Sensing Technology Neural Networks, Computer Environmental Monitoring Medicago sativa Salinity Machine Learning
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Guide for the application of the data augmentation approach on sets of texts in Spanish for sentiment and emotion analysis.

PloS one Sep 26, 2024
Over the last ten years, social media has become a crucial data source for businesses and researchers, providing a space where people can express their opinions and emotions. To analyze this data and classify emotions and their polarity in texts, nat...
Humans Deep Learning Neural Networks, Computer Machine Learning Emotions Algorithms Social Media Language Natural Language Processing
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