AIMC Journal:
Scientific reports

Showing 901 to 910 of 5361 articles

Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data.

Scientific reports Feb 18, 2025
A brain tumor is an abnormal growth of cells within the brain or surrounding tissues, which can be either benign or malignant. Brain tumors develop in various regions of the brain, each affecting different functions such as movement, speech, and visi...
Normal Distribution Humans Neural Networks, Computer Machine Learning Algorithms Brain Neoplasms Deep Learning Linear Models
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Applying deep learning and the ecological home range concept to document the spatial distribution of Atlantic salmon parr (Salmo salar L.) in experimental tanks.

Scientific reports Feb 18, 2025
Measuring and monitoring fish welfare in aquaculture research relies on the use of outcome- (biotic) and input-based (e.g., abiotic) welfare indicators (WIs). Incorporating behavioural auditing into this toolbox can sometimes be challenging because s...
Homing Behavior Animals Deep Learning Aquaculture Salmo salar Animal Welfare Behavior, Animal
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Predicting mental health disparities using machine learning for African Americans in Southeastern Virginia.

Scientific reports Feb 18, 2025
This study examined mental health disparities among African Americans using AI and machine learning for outcome prediction. Analyzing data from African American adults (18-85) in Southeastern Virginia (2016-2020), we found Mood Affective Disorders we...
Mental Disorders Female Health Status Disparities Risk Factors White Mental Health Aged Schizophrenia Male Aged, 80 and over Humans Virginia Middle Aged Young Adult Black or African American Machine Learning Adolescent Adult
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Integration of 101 machine learning algorithm combinations to unveil m6A/m1A/m5C/m7G-associated prognostic signature in colorectal cancer.

Scientific reports Feb 18, 2025
Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year overall survival rate. There is increasing evidence showing that RNA modification regulators such as m1A, m5C, m6A, and m7G play crucial roles in tumor...
Algorithms Prognosis Female Colorectal Neoplasms Biomarkers, Tumor Gene Expression Profiling Gene Regulatory Networks Humans Machine Learning Gene Expression Regulation, Neoplastic Methylation Adenosine
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Accelerating veterinary low field MRI acquisitions using the deep learning based denoising solution HawkAI.

Scientific reports Feb 18, 2025
Magnetic resonance imaging (MRI) has changed veterinary diagnosis but its long-sequence time can be problematic, especially because animals need to be sedated during the exam. Unfortunately, shorter scan times implies a fall in overall image quality ...
Magnetic Resonance Imaging Artifacts Signal-To-Noise Ratio Algorithms Animals Deep Learning Image Processing, Computer-Assisted
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Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury.

Scientific reports Feb 18, 2025
Machine learning (ML) offers precise predictions and could improve patient care, potentially replacing traditional scoring systems. A retrospective study at Emtiaz Hospital analyzed 3,180 traumatic brain injury (TBI) patients. Nineteen variables were...
Hospital Mortality Brain Injuries, Traumatic Survival Analysis Kaplan-Meier Estimate Adult Humans Male Machine Learning Female Middle Aged Algorithms Risk Assessment Risk Factors Prognosis Aged Retrospective Studies
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A hybrid optimization-enhanced 1D-ResCNN framework for epileptic spike detection in scalp EEG signals.

Scientific reports Feb 17, 2025
In order to detect epileptic spikes, this paper suggests a deep learning architecture that blends 1D residual convolutional neural networks (1D-ResCNN) with a hybrid optimization strategy. The Layer-wise Adaptive Moments (LAMB) and AdamW algorithms h...
Deep Learning Electroencephalography Epilepsy Signal Processing, Computer-Assisted Female Adult Male Scalp Humans Neural Networks, Computer Algorithms
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A recursive embedding and clustering technique for unraveling asymptomatic kidney disease using laboratory data and machine learning.

Scientific reports Feb 17, 2025
Traditional methods for diagnosing chronic kidney disease (CKD) via laboratory data may not be capable of identifying early kidney disease. Kidney biopsy is unsuitable for regular screening, and imaging tests are costly and time-consuming. Several st...
Female Aged Adult Male Humans Machine Learning Algorithms Cluster Analysis Middle Aged Creatinine Renal Insufficiency, Chronic Asymptomatic Diseases Glomerular Filtration Rate
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Multicenter study on predicting postoperative upper limb muscle strength improvement in cervical spinal cord injury patients using radiomics and deep learning.

Scientific reports Feb 17, 2025
Cervical spinal cord injury is often catastrophic, frequently leading to irreversible impairment. MRI has become the gold standard for evaluating spinal cord injuries (SCI). Our study aimed to assess the accuracy of a radiomics approach, based on mac...
Muscle Strength Cervical Vertebrae Postoperative Period Prognosis Cervical Cord Spinal Cord Injuries Retrospective Studies Middle Aged Upper Extremity Female Deep Learning Magnetic Resonance Imaging Humans Aged Adult Radiomics Male
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Dense convolution-based attention network for Alzheimer's disease classification.

Scientific reports Feb 17, 2025
Recently, deep learning-based medical image classification models have made substantial advancements. However, many existing models prioritize performance at the cost of efficiency, limiting their practicality in clinical use. Traditional Convolution...
Deep Learning ROC Curve Magnetic Resonance Imaging Alzheimer Disease Humans Neural Networks, Computer
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