AIMC Topic: Machine Learning

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Machine learning enables automated screening for systematic reviews and meta-analysis in urology.

World journal of urology Jul 10, 2024
PURPOSE: To investigate and implement semiautomated screening for meta-analyses (MA) in urology under consideration of class imbalance.
Systematic Reviews as Topic Humans Meta-Analysis as Topic Machine Learning Urology 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 Humans Support Vector Machine Diabetic Retinopathy Neural Networks, Computer Macular Edema Artificial Intelligence Retinal Diseases Machine Learning Choroidal Neovascularization Decision Trees Tomography, Optical Coherence Retina
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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 Blood Glucose Diabetes Mellitus Glycated Hemoglobin Adult Middle Aged Humans Machine Learning Algorithms Retrospective Studies Female Aged
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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...
Algorithms Quantitative Structure-Activity Relationship Deep Learning Cardiotoxicity Drug Development Ether-A-Go-Go Potassium Channels Humans Potassium Channel Blockers Machine Learning
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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 Regulation Intervertebral Disc Degeneration Gene Regulatory Networks Gene Expression Profiling Algorithms Computational Biology Humans Female Transcriptome Databases, Genetic Machine Learning Male Protein Interaction Maps
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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 Algorithms Support Vector Machine Social Media Bayes Theorem
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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...
Algorithms Humans Probability Neural Networks, Computer Machine Learning
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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...
Algorithms Humans Neural Networks, Computer Machine Learning
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Multi-task neural networks by learned contextual inputs.

Neural networks : the official journal of the International Neural Network Society Jul 9, 2024
This paper explores learned-context neural networks. It is a multi-task learning architecture based on a fully shared neural network and an augmented input vector containing trainable task parameters. The architecture is interesting due to its powerf...
Humans Neural Networks, Computer Machine Learning Algorithms Learning
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The role of biomarkers and dosimetry parameters in overall and progression free survival prediction for patients treated with personalized Y glass microspheres SIRT: a preliminary machine learning study.

European journal of nuclear medicine and molecular imaging Jul 9, 2024
BACKGROUND: Overall Survival (OS) and Progression-Free Survival (PFS) analyses are crucial metrics for evaluating the efficacy and impact of treatment. This study evaluated the role of clinical biomarkers and dosimetry parameters on survival outcomes...
Male Middle Aged Liver Neoplasms Aged Biomarkers, Tumor Radiometry Glass Yttrium Radioisotopes Carcinoma, Hepatocellular Progression-Free Survival Microspheres Humans Machine Learning Precision Medicine Retrospective Studies Female
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