External auditing is undergoing one of the most significant transformations in its history. Traditional audit processes relied heavily on physical documents, manual checks and human judgment. However, ...
Read more about Quantum machine learning shows promise for adaptive learning, but classrooms are not ready on Devdiscourse ...
Abstract: In the Internet of Things (IoT) environment, to maintain the global consistency and generalization capability of federated learning (FL) models with good data privacy, a personalized FL ...
To evaluate and compare the predictive performance of machine learning methods using clinical-semantic, radiomic, and combined features in distinguishing squamous cell carcinoma (SCC) from ...
A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...
Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...
Abstract: In modern healthcare, predicting diseases and identifying their underlying causes are crucial areas of study. This paper proposes a novel feature selection method based on entropy scores and ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...
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