AIMC Journal:
Scientific reports

Showing 911 to 920 of 5361 articles

Determining human resource management key indicators and their impact on organizational performance using deep reinforcement learning.

Scientific reports Feb 17, 2025
Performance-related indicators are crucial for evaluating and forecasting performance, enhancing decision-making efficiency, and establishing sustainable growth strategies. They motivate individuals and organizations, increase transparency, and accur...
Deep Learning Humans Efficiency, Organizational Neural Networks, Computer Reinforcement Machine Learning
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Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer.

Scientific reports Feb 17, 2025
Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating higher stress. It measures the variation in the time between heartbeats and offers insights into health. Artificial intelligence (AI) research aims to u...
Semantics Humans Genetic Algorithms Artificial Intelligence Stress, Psychological Machine Learning Algorithms Heart Rate Female Male
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Stacked CNN-based multichannel attention networks for Alzheimer disease detection.

Scientific reports Feb 17, 2025
Alzheimer's Disease (AD) is a progressive condition of a neurological brain disorder recognized by symptoms such as dementia, memory loss, alterations in behaviour, and impaired reasoning abilities. Recently, many researchers have been working to dev...
Humans Alzheimer Disease Neural Networks, Computer Deep Learning Magnetic Resonance Imaging
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Predicting cell properties with AI from 3D imaging flow cytometer data.

Scientific reports Feb 17, 2025
Predicting the properties of tissues or organisms from the genomics data is widely accepted by the medical community. Here we ask a question: can we predict the properties of each individual cell? Single-cell genomics does not work because the RNA se...
Humans Flow Cytometry Single-Cell Analysis Artificial Intelligence Imaging, Three-Dimensional
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An 8-point scale lung ultrasound scoring network fusing local detail and global features.

Scientific reports Feb 17, 2025
Manual lung ultrasound (LUS) scoring is influenced by clinicians' subjective interpretation, leading to potential inconsistencies and misdiagnoses due to varying levels of experience. To improve monitoring of pulmonary ventilation and support early d...
Lung Humans Deep Learning Ultrasonography Lung Diseases Neural Networks, Computer Image Interpretation, Computer-Assisted
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Machine learning-based identification of co-expressed genes in prostate cancer and CRPC and construction of prognostic models.

Scientific reports Feb 16, 2025
The objective of this study was to employ machine learning to identify shared differentially expressed genes (DEGs) in prostate cancer (PCa) initiation and castration resistance, aiming to establish a robust prognostic model and enhance understanding...
Prognosis Biomarkers, Tumor Male Gene Expression Profiling Transcriptome Gene Expression Regulation, Neoplastic Humans Machine Learning Nomograms Prostatic Neoplasms Prostatic Neoplasms, Castration-Resistant
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Predicting preterm birth using machine learning methods.

Scientific reports Feb 16, 2025
Preterm birth is a significant public health concern, given its correlation with neonatal mortality and morbidity. The aetiology of preterm birth is complex and multifactorial. The objective of this study was to develop and compare machine learning m...
Premature Birth Adult Logistic Models Support Vector Machine Pregnancy Humans Decision Trees Machine Learning Female Algorithms Infant, Newborn
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Predicting visual field global and local parameters from OCT measurements using explainable machine learning.

Scientific reports Feb 16, 2025
Glaucoma is characterised by progressive vision loss due to retinal ganglion cell deterioration, leading to gradual visual field (VF) impairment. The standard VF test may be impractical in some cases, where optical coherence tomography (OCT) can offe...
Female Aged Male Glaucoma Machine Learning Visual Field Tests Middle Aged Tomography, Optical Coherence Visual Fields Humans
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Machine learning modeling for predicting adherence to physical activity guideline.

Scientific reports Feb 15, 2025
This study aims to create predictive models for PA guidelines by using ML and examine the critical determinants influencing adherence to the PA guidelines. 11,638 entries from the National Health and Nutrition Examination Survey were analyzed. Variab...
Humans Machine Learning Middle Aged Nutrition Surveys Aged Exercise Sedentary Behavior Algorithms Adult Guideline Adherence Male Female
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An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data.

Scientific reports Feb 15, 2025
Auscultation is a method that involves listening to sounds from the patient's body, mainly using a stethoscope, to diagnose diseases. The stethoscope allows for non-invasive, real-time diagnosis, and it is ideal for diagnosing respiratory diseases an...
Female Stethoscopes Humans Deep Learning Prospective Studies Auscultation Male Child, Preschool Republic of Korea Respiratory Sounds Infant Child
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