Abstract: Machine learning (ML) algorithms have shown promise in optimizing wireless power transfer (WPT) systems, particularly for electric vehicle charging and medical implants. However, most ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
1 Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China. 2 Shandong Engineering Research Center of ...
We developed 113 diagnostic models for AMS based on combinations of 10 machine-learning algorithms based on the previous studies (8, 9). Subsequently, model performance was evaluated on two ...
Despite years of hype, new research reveals that predictive models often misclassify individuals at risk for suicide and fail to enhance real-world prevention. A review and meta-analysis in PLOS ...
Crotonylation, a post-translational modification, is implicated in cancer progression, but its prognostic significance in clear cell renal cell carcinoma (ccRCC) remains unclear. This study aimed to ...
We obtained mRNA-seq and scRNA of HCC from GeneCards, GEO, TCGA and ICGC. EIG were obtained using WGCNA, differential gene expression analysis and CIBERSORT. Univariate COX analysis and 101 ...
Machine learning is one of the most in-demand tech skills of our time—and online learning platforms like Udemy make it easier than ever to get started. Whether you’re a beginner aiming to break into ...
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