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A Comparative Study of Shallow and Deep Learning Models for Predicting Post-Operative Complications in Neurosurgical and Clinical Applications with Real-world Example (P1-2.007)
0
Zitationen
6
Autoren
2025
Jahr
Abstract
exploring the potential uses of LLM and SML models in predicting post-operative complications in patients with cervical spondylosis, and to compare the pros and cons of the two approaches in terms of accuracy, cost-effectiveness, and patient confidentiality and data security.
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