This repository showcases a collection of diverse Machine Learning projects, demonstrating proficiency in various ML algorithms, data preprocessing techniques, model evaluation, and deployment ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation. Methods From the SCOT-HEART ...

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BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Abstract: Automatic emotion recognition in speech is a current research area with a wide range of applications in human-machine interactions. This paper uses two classification methods, the hidden ...

Abstract: Deep neural networks (DNN) are increasingly being used in neuroimaging research for the diagnosis of brain disorders and understanding of human brain. Despite their impressive performance, ...

The potential harm of bias in generative AI tools is largely due to widespread adoption by organizations and free or low-cost ...

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Human-in-the-loop oversight is widely invoked as a safeguard against potential harm from artificial intelligence (AI) used in health care, yet it functions more as symbolic reassurance than ...

SINGAPORE – A registry of artificial intelligence agents is being developed for 150,000 public officers in Singapore to use cutting-edge AI in their work without compromising data security. This ...