AIMC Journal:
Scientific reports

Showing 1571 to 1580 of 5371 articles

Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms.

Scientific reports Sep 27, 2024
Cardiovascular disease (CVD) can often lead to serious consequences such as death or disability. This study aims to identify a tree-based machine learning method with the best performance criteria for the detection of CVD. This study analyzed data co...
Adult Algorithms Humans Male Female Middle Aged Cardiovascular Diseases Aged Machine Learning ROC Curve Decision Trees
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A Data-Centric Approach to improve performance of deep learning models.

Scientific reports Sep 27, 2024
The Artificial Intelligence has evolved and is now associated with Deep Learning, driven by availability of vast amount of data and computing power. Traditionally, researchers have adopted a Model-Centric Approach, focusing on developing new algorith...
Deep Learning Humans Artificial Intelligence Algorithms
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Identification of immune patterns in idiopathic pulmonary fibrosis patients driven by PLA2G7-positive macrophages using an integrated machine learning survival framework.

Scientific reports Sep 27, 2024
Patients with advanced idiopathic pulmonary fibrosis (IPF), a complex and incurable lung disease with an elusive pathology, are nearly exclusive candidates for lung transplantation. Improved identification of patient subtypes can enhance early diagno...
Idiopathic Pulmonary Fibrosis Humans Middle Aged Celecoxib Machine Learning Molecular Docking Simulation Female Single-Cell Analysis Macrophages Aged Biomarkers Male Prognosis
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Impact of a deep learning-based brain CT interpretation algorithm on clinical decision-making for intracranial hemorrhage in the emergency department.

Scientific reports Sep 27, 2024
Intracranial hemorrhage is a critical emergency that requires prompt and accurate diagnosis in the emergency department (ED). Deep learning technology can assist in interpreting non-enhanced brain CT scans, but its real-world impact on clinical decis...
Algorithms Brain Tomography, X-Ray Computed Clinical Decision-Making Female Adult Humans ROC Curve Emergency Service, Hospital Sensitivity and Specificity Intracranial Hemorrhages Male Deep Learning
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Comparative study of machine learning and statistical survival models for enhancing cervical cancer prognosis and risk factor assessment using SEER data.

Scientific reports Sep 27, 2024
Cervical cancer is a common malignant tumor of the female reproductive system and the leading cause of death among women worldwide. The survival prediction method can be used to effectively analyze the time to event, which is essential in any clinica...
SEER Program Survival Analysis Proportional Hazards Models Middle Aged Risk Assessment Models, Statistical Adult Uterine Cervical Neoplasms Humans Machine Learning Prognosis Female Risk Factors Aged
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A novel hybrid deep learning IChOA-CNN-LSTM model for modality-enriched and multilingual emotion recognition in social media.

Scientific reports Sep 27, 2024
In the rapidly evolving field of artificial intelligence, the importance of multimodal sentiment analysis has never been more evident, especially amid the ongoing COVID-19 pandemic. Our research addresses the critical need to understand public sentim...
Emotions Social Media Algorithms SARS-CoV-2 Deep Learning Humans Neural Networks, Computer COVID-19
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Hand gesture recognition using sEMG signals with a multi-stream time-varying feature enhancement approach.

Scientific reports Sep 27, 2024
Hand gesture recognition based on sparse multichannel surface electromyography (sEMG) still poses a significant challenge to deployment as a muscle-computer interface. Many researchers have been working to develop an sEMG-based hand gesture recogniti...
Humans Deep Learning Gestures Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Male Hand Electromyography Pattern Recognition, Automated
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Generative language models on nucleotide sequences of human genes.

Scientific reports Sep 27, 2024
Language models, especially transformer-based ones, have achieved colossal success in natural language processing. To be precise, studies like BERT for natural language understanding and works like GPT-3 for natural language generation are very impor...
Natural Language Processing Humans Base Sequence Computational Biology Sequence Analysis, DNA
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Deep learning domain adaptation to understand physico-chemical processes from fluorescence spectroscopy small datasets and application to the oxidation of olive oil.

Scientific reports Sep 27, 2024
Fluorescence spectroscopy is a fundamental tool in life sciences and chemistry, with applications in environmental monitoring, food quality control, and biomedical diagnostics. However, analysis of spectroscopic data with deep learning, in particular...
Neural Networks, Computer Algorithms Deep Learning Oxidation-Reduction Spectrometry, Fluorescence Olive Oil
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Identification of common biomarkers in diabetic kidney disease and cognitive dysfunction using machine learning algorithms.

Scientific reports Sep 27, 2024
Cognitive dysfunction caused by diabetes has become a serious global medical issue. Diabetic kidney disease (DKD) exacerbates cognitive dysfunction in patients, although the precise mechanism behind this remains unclear. Here, we conducted an investi...
Machine Learning Algorithms Biomarkers Humans Mice Diabetic Nephropathies Neurons Animals Gene Expression Profiling Cognitive Dysfunction
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