Multitask learning in deep neural networks is an approach in which a single model is trained to perform multiple related tasks concurrently, exploiting commonalities and differences across tasks to ...
Predicting multiple postoperative complications remains challenging in perioperative care. Current approaches often address complications individually, limiting the potential for integrated risk ...
A team of researchers from the Skolkovo Institute of Science and Technology, the University of Vienna, and Sirius University of Science and Technology has published a study in the Journal of ...
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