Methods: Our Johns Hopkins University (JHU) team classified many uncategorized diagnosis codes into existing New York University Emergency Department Algorithm (NYU-EDA) categories and added 3 ...

The performance of regression methods for selecting the best individuals was compared with that of three supervised classification algorithms: Random Forest Classification (RFC) and Support Vector ...

Emergent classification based on the algorithm was strongly and significantly ... Researchers are in need of methods to categorize ED visits as emergent and nonemergent. Public and private ...

New data fusion method improves diagnostic accuracy ... fusion process for multi-label skin lesion classification. Multi-modal: The learning algorithm includes three different types of data ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

One of the most innovative aspects of the system is the integration of OpenAI’s GPT-4o model for automated report writing.

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...