AIMC Topic: Machine Learning
Clear Filters Showing 1331 to 1340 of 32557 articles
Optimal graph representations and neural networks for multichannel time series data in seizure phase classification.
Scientific reports
Jun 4, 2025
In recent years, several machine-learning (ML) solutions have been proposed to solve the problems of seizure detection, seizure phase classification, seizure prediction, and seizure onset zone (SOZ) localization, achieving excellent performance with ...
Artificial intelligence enhanced electrochemical immunoassay for staphylococcal enterotoxin B.
Scientific reports
Jun 4, 2025
Staphylococcal enterotoxin B (SEB) holds critical importance in disease diagnosis, food safety, and public health due to its high toxicity and potent pathogenicity. Traditional immunoassay methods for detecting SEB often exhibit insufficient accuracy...
Powdery mildew resistance prediction in Barley (Hordeum Vulgare L) with emphasis on machine learning approaches.
Scientific reports
Jun 4, 2025
By employing machine-learning models, this study utilizes agronomical and molecular features to predict powdery mildew disease resistance in Barley (Hordeum Vulgare L). A 130-line F8-F9 barley population caused Badia and Kavir to grow at the Gonbad K...
Mortality Prediction Performance Under Geographical, Temporal, and COVID-19 Pandemic Dataset Shift: External Validation of the Global Open-Source Severity of Illness Score Model.
Critical care explorations
Jun 4, 2025
BACKGROUND: Risk-prediction models are widely used for quality of care evaluations, resource management, and patient stratification in research. While established models have long been used for risk prediction, healthcare has evolved significantly, a...
A comparative study of various statistical and machine learning models for predicting restaurant demand in Bangladesh.
PloS one
Jun 4, 2025
Precise demand forecasting has become crucial for merchants due to the growing complexity of client behavior and market dynamics. This allows them to enhance inventory management, minimize instances of stock outs, and enhance overall operational effi...
Impact of e-waste pollutant exposure on renal injury and oxidative stress biomarkers: Evidence from causal machine learning.
Journal of hazardous materials
Jun 3, 2025
Global electronification has driven an unprecedented surge in electronic and electrical waste (e-waste), with approximately 75 % of this e-waste informally managed, releasing hazardous chemicals. Traditional association analyses have limited ability ...
Developing a CT radiomics-based model for assessing split renal function using machine learning.
Japanese journal of radiology
Jun 3, 2025
PURPOSE: This study aims to investigate whether non-contrast computed tomography radiomics can effectively reflect split renal function and to develop a radiomics model for its assessment.
A systematic review: Brain age gap as a promising early diagnostic biomarker for Alzheimer's disease.
Journal of the neurological sciences
Jun 3, 2025
Alzheimer's disease (AD) is a progressive neurodegenerative disorder for which there is currently no cure, and its incidence is on the rise. Early detection is essential for timely intervention and slowing the progression of the disease. While the br...
Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges.
Computers in biology and medicine
Jun 3, 2025
BACKGROUND: Artificial Intelligence is transforming medical imaging, particularly in the analysis of bone metastases (BM), a serious complication of advanced cancers. Machine learning and deep learning techniques offer new opportunities to improve de...
Acquired resistance in cancer: towards targeted therapeutic strategies.
Nature reviews. Cancer
Jun 3, 2025
Development of acquired therapeutic resistance limits the efficacy of cancer treatments and accounts for therapeutic failure in most patients. How resistance arises, varies across cancer types and differs depending on therapeutic modalities is incomp...
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