AIMC Journal:
Scientific reports

Showing 1221 to 1230 of 5366 articles

A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud.

Scientific reports Jan 2, 2025
Healthcare insurance fraud imposes a significant financial burden on healthcare systems worldwide, with annual losses reaching billions of dollars. This study aims to improve fraud detection accuracy using machine learning techniques. Our approach co...
Insurance, Health Humans Machine Learning Fraud
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Employing a low-code machine learning approach to predict in-hospital mortality and length of stay in patients with community-acquired pneumonia.

Scientific reports Jan 2, 2025
Community-acquired pneumonia (CAP) is associated with high mortality rates and often results in prolonged hospital stays. The potential of machine learning to enhance prediction accuracy in this context is significant, yet clinicians often lack the p...
Data Mining Pneumonia Length of Stay Machine Learning Area Under Curve Male Community-Acquired Infections Retrospective Studies Hospital Mortality Aged Middle Aged Aged, 80 and over ROC Curve Female Humans
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Acquisition of similar properties by filters in the same stream of a multistream convolutional neural network.

Scientific reports Jan 2, 2025
Functional modular organization is observed in a variety of cortical areas in the brain. In the visual cortex of primates, adjacent neurons often respond to the same visual submodality, such as color or orientation, and have a similar preferred orien...
Photic Stimulation Visual Cortex Animals Neurons Neural Networks, Computer
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Machine learning-based analysis of microfluidic device immobilized C. elegans for automated developmental toxicity testing.

Scientific reports Jan 2, 2025
Developmental toxicity (DevTox) tests evaluate the adverse effects of chemical exposures on an organism's development. Although current testing primarily relies on large mammalian models, the emergence of new approach methodologies (NAMs) is encourag...
Animals Image Processing, Computer-Assisted Lab-On-A-Chip Devices Caenorhabditis elegans Toxicity Tests Machine Learning
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Deep learning-based discovery of compounds for blood pressure lowering effects.

Scientific reports Jan 2, 2025
The hypotensive side effects caused by drugs during their use have been a vexing issue. Recent studies have found that deep learning can effectively predict the biological activity of compounds by mining patterns and rules in the data, providing a po...
Blood Pressure Antihypertensive Agents Hypertension Dogs Molecular Docking Simulation Drug Discovery Humans Deep Learning Animals
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Type 2 diabetes prediction method based on dual-teacher knowledge distillation and feature enhancement.

Scientific reports Jan 2, 2025
Diabetes prediction is an important topic in the field of medical health. Accurate prediction can help early intervention and reduce patients' health risks and medical costs. This paper proposes a data preprocessing method, including removing outlier...
Reproducibility of Results Male Diabetes Mellitus, Type 2 Algorithms Female Humans Neural Networks, Computer
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Fibrosis and inflammatory activity diagnosis of chronic hepatitis C based on extreme learning machine.

Scientific reports Jan 2, 2025
The traditional diagnosis of chronic hepatitis C usually relies on liver biopsy. Diagnosing chronic hepatitis C based on serum indices provides a non-invasive way to determine the stage of chronic hepatitis C without liver biopsy. In this paper, we p...
Cluster Analysis Hepatitis C, Chronic Inflammation Liver Cirrhosis Humans Machine Learning Female Male Biomarkers
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Drug discovery and mechanism prediction with explainable graph neural networks.

Scientific reports Jan 2, 2025
Apprehension of drug action mechanism is paramount for drug response prediction and precision medicine. The unprecedented development of machine learning and deep learning algorithms has expedited the drug response prediction research. However, exist...
Humans Algorithms Neoplasms Drug Discovery Neural Networks, Computer Machine Learning Cell Line, Tumor Computational Biology Antineoplastic Agents Deep Learning
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Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions.

Scientific reports Jan 2, 2025
How to utilize modern technological means to provide both accurate scoring and objective feedback for martial arts movements has become an issue that needs to be addressed in the field of physical education. This study proposes an intelligent scoring...
Machine Learning Algorithms Martial Arts Decision Making Athletes Athletic Performance Movement Male Humans
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Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes.

Scientific reports Jan 2, 2025
Sepsis, characterized as a systemic inflammatory response triggered by pathogen invasion, represents a continuum that may progress from mild systemic infection to severe sepsis, potentially culminating in septic shock and multiple organ dysfunction s...
Humans Machine Learning Computational Biology Support Vector Machine Purines Gene Expression Profiling Sepsis Biomarkers
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