AIMC Journal:
Scientific reports

Showing 751 to 760 of 5361 articles

Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding.

Scientific reports Mar 10, 2025
Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly compromises vascular health and serves as a major contributor to cardiovascular diseases. KCTD10, a protein implicated in a variety of biological pro...
Databases, Genetic Coronary Artery Disease Potassium Channels, Voltage-Gated Humans Machine Learning Gene Expression Profiling Computational Biology
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Vision Mamba and xLSTM-UNet for medical image segmentation.

Scientific reports Mar 10, 2025
Deep learning-based medical image segmentation methods are generally divided into convolutional neural networks (CNNs) and Transformer-based models. Traditional CNNs are limited by their receptive field, making it challenging to capture long-range de...
Image Processing, Computer-Assisted Algorithms Humans Deep Learning Neural Networks, Computer
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Integrated fusion approach for multi-class heart disease classification through ECG and PCG signals with deep hybrid neural networks.

Scientific reports Mar 8, 2025
Detection and classification of cardiovascular diseases are crucial for early diagnosis and prediction of heart-related conditions. Existing methods rely on either electrocardiogram or phonocardiogram signals, resulting in higher false positive rates...
Phonocardiography Electrocardiography Humans Signal Processing, Computer-Assisted Heart Diseases Neural Networks, Computer Algorithms
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PM concentration prediction using machine learning algorithms: an approach to virtual monitoring stations.

Scientific reports Mar 8, 2025
One of the most important pollutants is PM, which is particularly important to monitor pollutant levels to keep the pollutant concentration under control. In this research, an attempt has been made to predict the concentrations of PM using four Machi...
Algorithms SARS-CoV-2 Air Pollutants Air Pollution Environmental Monitoring Machine Learning COVID-19 Particulate Matter Humans
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Position-context additive transformer-based model for classifying text data on social media.

Scientific reports Mar 8, 2025
In recent years, the continuous increase in the growth of text data on social media has been a major reason to rely on the pre-training method to develop new text classification models specially transformer-based models that have proven worthwhile in...
Social Media Natural Language Processing Algorithms Models, Theoretical Humans
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Explainable AI analysis for smog rating prediction.

Scientific reports Mar 8, 2025
Smog poses a direct threat to human health and the environment. Addressing this issue requires understanding how smog is formed. While major contributors include industries, fossil fuels, crop burning, and ammonia from fertilizers, vehicles play a si...
Humans Environmental Monitoring Vehicle Emissions Machine Learning
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Physics-informed machine learning for automatic model reduction in chemical reaction networks.

Scientific reports Mar 7, 2025
Physics-informed machine learning bridges the gap between the high fidelity of mechanistic models and the adaptive insights of artificial intelligence. In chemical reaction network modeling, this synergy proves valuable, addressing the high computati...
Alzheimer Disease Amyloid beta-Peptides Kinetics Computer Simulation Models, Chemical Machine Learning Humans Algorithms
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Early prediction of postpartum dyslipidemia in gestational diabetes using machine learning models.

Scientific reports Mar 7, 2025
This study addresses a gap in research on predictive models for postpartum dyslipidemia in women with gestational diabetes mellitus (GDM). The goal was to develop a machine learning-based model to predict postpartum dyslipidemia using early pregnancy...
Algorithms Pregnancy Humans Machine Learning ROC Curve Diabetes, Gestational Dyslipidemias Female Adult Postpartum Period
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Continuous nursing symptom management in cancer chemotherapy patients using deep learning.

Scientific reports Mar 7, 2025
To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, aiming to enhance their quality of life. A non-randomized controlled trial was conducted from September 2022 to March 2024, involving 144 chemotherapy ...
Adult Male Neoplasms Female Humans Middle Aged Patient Satisfaction Quality of Life Aged Antineoplastic Agents Anxiety Deep Learning Depression
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Hybrid neural network method for damage localization in structural health monitoring.

Scientific reports Mar 7, 2025
The detection of cracks in large structures is of critical importance, as such damage can result not only in significant financial costs but also pose serious risks to public safety. Many existing methods for crack detection rely on deep learning alg...
Neural Networks, Computer Algorithms Deep Learning Humans
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