AIMC Topic: Algorithms

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A hybrid model for the detection of retinal disorders using artificial intelligence techniques.

Biomedical physics & engineering express Jul 10, 2024
The prevalence of vision impairment is increasing at an alarming rate. The goal of the study was to create an automated method that uses optical coherence tomography (OCT) to classify retinal disorders into four categories: choroidal neovascularizati...
Algorithms Deep Learning Support Vector Machine Artificial Intelligence Machine Learning Macular Edema Retinal Diseases Choroidal Neovascularization Tomography, Optical Coherence Retina Diabetic Retinopathy Decision Trees Neural Networks, Computer Humans
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Unlocking Optimal Glycemic Interpretation: Redefining HbA1c Analysis in Female Patients With Diabetes and Iron-Deficiency Anemia Using Machine Learning Algorithms.

Journal of clinical laboratory analysis Jul 10, 2024
OBJECTIVE: In response to the nuanced glycemic challenges faced by women with iron deficiency anemia (IDA) associated with diabetes, this study uses advanced machine learning algorithms to redefine hemoglobin (Hb)A1c measurement values. We aimed to i...
Anemia, Iron-Deficiency Adult Middle Aged Diabetes Mellitus Glycated Hemoglobin Blood Glucose Retrospective Studies Female Aged Humans Machine Learning Algorithms
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Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study.

Expert opinion on drug metabolism & toxicology Jul 10, 2024
BACKGROUND: Cardiotoxicity is a major cause of drug withdrawal. The hERG channel, regulating ion flow, is pivotal for heart and nervous system function. Its blockade is a concern in drug development. Predicting hERG blockade is essential for identify...
Humans Machine Learning Ether-A-Go-Go Potassium Channels Potassium Channel Blockers Drug Development Algorithms Quantitative Structure-Activity Relationship Deep Learning Cardiotoxicity
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Identification of core genes in intervertebral disc degeneration using bioinformatics and machine learning algorithms.

Frontiers in immunology Jul 10, 2024
BACKGROUND: Intervertebral Disc Degeneration (IDD) is a major cause of lower back pain and a significant global health issue. However, the specific mechanisms of IDD remain unclear. This study aims to identify key genes and pathways associated with I...
Gene Expression Profiling Intervertebral Disc Degeneration Algorithms Transcriptome Gene Regulatory Networks Databases, Genetic Female Humans Protein Interaction Maps Computational Biology Gene Expression Regulation Male Machine Learning
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HAPI: An efficient Hybrid Feature Engineering-based Approach for Propaganda Identification in social media.

PloS one Jul 10, 2024
Social media platforms serve as communication tools where users freely share information regardless of its accuracy. Propaganda on these platforms refers to the dissemination of biased or deceptive information aimed at influencing public opinion, enc...
Humans Machine Learning Social Media Algorithms Bayes Theorem Support Vector Machine
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CapNet: An Automatic Attention-Based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation.

Journal of imaging informatics in medicine Jul 9, 2024
Deep neural networks have shown excellent performance in medical image segmentation, especially for cardiac images. Transformer-based models, though having advantages over convolutional neural networks due to the ability of long-range dependence lear...
Neural Networks, Computer Algorithms Deep Learning Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Heart Image Processing, Computer-Assisted
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Structural prior-driven feature extraction with gradient-momentum combined optimization for convolutional neural network image classification.

Neural networks : the official journal of the International Neural Network Society Jul 9, 2024
Recent image classification efforts have achieved certain success by incorporating prior information such as labels and logical rules to learn discriminative features. However, these methods overlook the variability of features, resulting in feature ...
Humans Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Probability graph complementation contrastive learning.

Neural networks : the official journal of the International Neural Network Society Jul 9, 2024
Graph Neural Network (GNN) has achieved remarkable progress in the field of graph representation learning. The most prominent characteristic, propagating features along the edges, degrades its performance in most heterophilic graphs. Certain research...
Neural Networks, Computer Machine Learning Probability Algorithms Humans
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A weighted prior tensor train decomposition method for community detection in multi-layer networks.

Neural networks : the official journal of the International Neural Network Society Jul 9, 2024
Community detection in multi-layer networks stands as a prominent subject within network analysis research. However, the majority of existing techniques for identifying communities encounter two primary constraints: they lack suitability for high-dim...
Humans Algorithms Neural Networks, Computer Machine Learning
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T-distributed Stochastic Neighbor Network for unsupervised representation learning.

Neural networks : the official journal of the International Neural Network Society Jul 9, 2024
Unsupervised representation learning (URL) is still lack of a reasonable operator (e.g. convolution kernel) for exploring meaningful structural information from generic data including vector, image and tabular data. In this paper, we propose a simple...
Single-Cell Analysis Cluster Analysis Algorithms Stochastic Processes Unsupervised Machine Learning Humans Neural Networks, Computer
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