AIMC Topic: Machine Learning

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GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data.

Scientific reports Jul 2, 2025
Congenital glaucoma, a complex and diverse condition, presents considerable difficulties in its identification and categorization. This research used Next Generation Sequencing (NGS) whole-exome data to create a categorization framework using machine...
High-Throughput Nucleotide Sequencing Algorithms Humans Genotype Glaucoma Decision Trees Machine Learning
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Exploring the link between the ZJU index and sarcopenia in adults aged 20-59 using NHANES and machine learning.

Scientific reports Jul 2, 2025
Sarcopenia, characterized by progressive loss of muscle mass and function, is a growing public health concern. The ZJU index, a novel metabolic marker, integrates lipid metabolism and glucose regulation parameters. While its association with metaboli...
Middle Aged Nutrition Surveys United States Adult Humans Sarcopenia Risk Factors Cross-Sectional Studies Biomarkers Machine Learning Male Young Adult Female
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Cognition-enhanced geospatial decision framework integrating fuzzy FCA, surprisingly popular method, and a large language model.

Scientific reports Jul 2, 2025
This study introduces a cognition-enhanced framework for geospatial decision-making by integrating Fuzzy Formal Concept Analysis (FCA), the Surprisingly Popular (SP) method, and a Large Language Model (GPT-4o). Our approach captures cognitive influen...
Language Geographic Information Systems Humans Cognition Machine Learning Fuzzy Logic Models, Theoretical Decision Making Large Language Models
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Automated grading of rectocele with an MRI radiomics model.

Scientific reports Jul 2, 2025
To develop an automated grading model for rectocele (RC) based on radiomics and evaluate its efficacy. This study retrospectively analyzed a total of 9,392 magnetic resonance imaging (MRI) images obtained from 222 patients who underwent dynamic magne...
Female Aged Adult Middle Aged Severity of Illness Index Radiomics Rectocele Male Defecography ROC Curve Support Vector Machine Humans Magnetic Resonance Imaging Machine Learning Retrospective Studies
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Towards real-world monitoring scenarios: An improved point prediction method for crowd counting based on contrastive learning.

PloS one Jul 2, 2025
In open environments, complex and variable backgrounds and dense multi-scale targets are two key challenges for crowd counting. Due to the reliance on supervised learning with labeled data, current methods struggle to adapt to crowd detection in comp...
Machine Learning Algorithms Crowding Humans Neural Networks, Computer
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Particle swarm optimization-based NLP methods for optimizing automatic document classification and retrieval.

PloS one Jul 2, 2025
Text classification plays an essential role in natural language processing and is commonly used in tasks like categorizing news, sentiment analysis, and retrieving relevant information. [0pc][-9pc]Please check and confirm the inserted city and countr...
Humans Machine Learning Algorithms Information Storage and Retrieval Particle Swarm Optimization Deep Learning Natural Language Processing
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Educational improvement through machine learning: Strategic models for better PISA scores.

PloS one Jul 2, 2025
In this study, in addition to traditional variables such as economic wealth or the number of books read, on which many studies have already been conducted, variables that are thought to influence student achievement and better predict success are ide...
Male Students Educational Measurement Humans Machine Learning Female Reading
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Iron metabolism and preeclampsia: new insights from bioinformatics analysis.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Jul 1, 2025
OBJECTIVE: Preeclampsia (PE) is a multifactorial systemic pregnancy disease, in which iron metabolism and ferroptosis play significant roles during its pathogenesis. The diagnosis and prevention of PE remain urgent clinical issues that need to be add...
Pre-Eclampsia Machine Learning Pregnancy Female Ferroptosis Humans Gene Expression Profiling Iron Computational Biology
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Integrated phenotypic and transcriptomic characterization of desmin-related cardiomyopathy in hiPSC-derived cardiomyocytes and machine learning-based classification of disease features.

European journal of cell biology Jul 1, 2025
Desmin-related diseases are characterized by skeletal muscle weakness, cardiomyopathy, and respiratory dysfunction due to mutations in the desmin gene (DES), which encodes a protein essential for muscle cell integrity. This study investigates the eff...
Phenotype Transcriptome Myocytes, Cardiac Cardiomyopathies Humans Machine Learning Induced Pluripotent Stem Cells Muscular Dystrophies Desmin
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Role of risk factors and their variable types in predicting noise-induced hearing loss using artificial intelligence algorithms.

Hearing research Jul 1, 2025
Early prediction and warning of occupational noise-induced hearing loss (NIHL) in workers is critical. This study aimed to explore the role of risk factors and their variable types to NIHL prediction through machine learning (ML) techniques. Data on ...
Time Factors Occupational Exposure Machine Learning Logistic Models Algorithms Age Factors Occupational Diseases Humans Adult Female Middle Aged Hearing Loss, Noise-Induced Predictive Value of Tests Male Neural Networks, Computer Risk Assessment Risk Factors Noise, Occupational Sex Factors China Artificial Intelligence Young Adult Hearing Ear Protective Devices
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