Current State of High-Fidelity Multimodal Monitoring in Traumatic Brain Injury

Introduction Multimodal monitoring of patients with severe traumatic brain injury (TBI) is primarily conducted in neurocritical care units to prevent secondary harmful brain injuries and facilitate patient recovery. Both invasive and non-invasive techniques are typically employed to monitor various parameters. The latest guidelines from the Brain Trauma Foundation in 2016 provide recommendations and thresholds for … Read more

MetricPrompt: A Few-Shot Text Classification Method Based on Relevance Metrics

MetricPrompt: A Few-Shot Text Classification Method Based on Relevance Metrics

Introduction to the Paper Despite the increasing applications of prompt learning methods in various few-shot natural language processing tasks, designing templates and label mappings in prompt learning is quite challenging, requiring a deep understanding of the model and classification tasks, along with extensive trial and error. Existing methods for automating label mapping design, while saving … Read more