Deep Learning with Yacine on MSN
Which Cross-Validation Method Should You Use in Machine Learning?
Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...
A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
A machine learning algorithm used gene expression profiles of patients with gout to predict flares.
Discover how a machine-learning drug toxicity prediction model enhances the predictive power of AI in drug trials, boosting ...
Machine learning predicted ASD using sex-specific prenatal/perinatal factors: pregestational BMI, socioeconomic status, maternal age, and more.
The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
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