AIMC Journal:
Scientific reports

Showing 1611 to 1620 of 5371 articles

Engagement analysis of a persuasive-design-optimized eHealth intervention through machine learning.

Scientific reports Sep 13, 2024
The challenge of sustaining user engagement in eHealth interventions is a pressing issue with significant implications for the effectiveness of these digital health tools. This study investigates user engagement in a cognitive-behavioral therapy-base...
Male Female Students Young Adult Telemedicine Cognitive Behavioral Therapy Adult Procrastination Humans Machine Learning
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Automatic 3D pelvimetry framework in CT images and its validation.

Scientific reports Sep 13, 2024
In the field of spinal pathology, sagittal balance of the spine is usually judged by the spatial structure and morphology of pelvis, which can be represented by pelvic parameters. Pelvic parameters, including pelvic incidence, pelvic tilt and sacral ...
Adult Male Middle Aged Humans Algorithms Tomography, X-Ray Computed Female Femur Head Deep Learning Pelvimetry Imaging, Three-Dimensional Pelvis
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An attentional mechanism model for segmenting multiple lesion regions in the diabetic retina.

Scientific reports Sep 12, 2024
Diabetic retinopathy (DR), a leading cause of blindness in diabetic patients, necessitates the precise segmentation of lesions for the effective grading of lesions. DR multi-lesion segmentation faces the main concerns as follows. On the one hand, ret...
Image Processing, Computer-Assisted Humans Retina Diabetic Retinopathy Attention Algorithms Deep Learning
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Logistic regression analysis and machine learning for predicting post-stroke gait independence: a retrospective study.

Scientific reports Sep 11, 2024
This study investigated whether machine learning (ML) has better predictive accuracy than logistic regression analysis (LR) for gait independence at discharge in subacute stroke patients (n = 843) who could not walk independently at admission. We dev...
Humans Stroke Machine Learning Middle Aged Algorithms Gait Prognosis Aged Stroke Rehabilitation ROC Curve Retrospective Studies Aged, 80 and over Logistic Models Female Male
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A natural language processing system for the efficient extraction of cell markers.

Scientific reports Sep 11, 2024
Single-cell RNA sequencing (scRNA-seq) has emerged as a pivotal tool for exploring cellular landscapes across diverse species and tissues. Precise annotation of cell types is essential for understanding these landscapes, relying heavily on empirical ...
Sequence Analysis, RNA Databases, Genetic Natural Language Processing Single-Cell Analysis Mice Computational Biology Humans Biomarkers Animals
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Identification of neutrophil extracellular trap-related biomarkers in non-alcoholic fatty liver disease through machine learning and single-cell analysis.

Scientific reports Sep 10, 2024
Non-alcoholic Fatty Liver Disease (NAFLD), noted for its widespread prevalence among adults, has become the leading chronic liver condition globally. Simultaneously, the annual disease burden, particularly liver cirrhosis caused by NAFLD, has increas...
Extracellular Traps Neutrophils Non-alcoholic Fatty Liver Disease Humans Machine Learning Biomarkers Gene Expression Profiling Transcriptome Single-Cell Analysis
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Comorbidity-based framework for Alzheimer's disease classification using graph neural networks.

Scientific reports Sep 10, 2024
Alzheimer's disease (AD), the most prevalent form of dementia, requires early prediction for timely intervention. Current deep learning approaches, particularly those using traditional neural networks, face challenges such as handling high-dimensiona...
Humans Neural Networks, Computer Female Comorbidity Deep Learning Cognitive Dysfunction Aged Aged, 80 and over Male Alzheimer Disease Neuroimaging
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Long-term trend prediction of pandemic combining the compartmental and deep learning models.

Scientific reports Sep 9, 2024
Predicting the spread trends of a pandemic is crucial, but long-term prediction remains challenging due to complex relationships among disease spread stages and preventive policies. To address this issue, we propose a novel approach that utilizes dat...
Deep Learning Pandemics COVID-19 SARS-CoV-2 Humans
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Validation of neuron activation patterns for artificial intelligence models in oculomics.

Scientific reports Sep 9, 2024
Recent advancements in artificial intelligence (AI) have prompted researchers to expand into the field of oculomics; the association between the retina and systemic health. Unlike conventional AI models trained on well-recognized retinal features, th...
United Kingdom Blood Pressure Retina Neurons Humans Artificial Intelligence Female Male Middle Aged
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Fed-CL- an atrial fibrillation prediction system using ECG signals employing federated learning mechanism.

Scientific reports Sep 9, 2024
Deep learning has shown great promise in predicting Atrial Fibrillation using ECG signals and other vital signs. However, a major hurdle lies in the privacy concerns surrounding these datasets, which often contain sensitive patient information. Balan...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Atrial Fibrillation Heart Rate Machine Learning Deep Learning Electrocardiography
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