Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
The leading and longest established online Process Engineering publication serving the Process Manufacturing Industries In today’s industrial facilities, condition monitoring plays a critical role in ...
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Machine learning weather models are transforming climate forecasting across Africa
The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly urgent.Floods, heatwaves, droughts, and air pollution events are ...
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