Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
Background C-reactive protein (CRP) is commonly used to assess systemic inflammation, yet its prognostic value in acute ...
Abstract: With the explosive growth of data volume and computing capability, federated learning, which involves constructing global models over multiple data islands, has demonstrated its advantages ...
Background Rheumatic heart disease (RHD) remains a major cause of morbidity and mortality in low-resource settings, ...
Abstract: Accurate fault detection and classification in power transmission systems are critical to maintaining grid reliability and minimizing outage durations. Traditional methods, often reliant on ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...
We evaluated six machine learning models: deep neural network, logistic regression, decision tree, random forest, light gradient boosting machine, and naïve Bayes for predicting postoperative AKI, ...
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
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