The book "Clinical Chinese Named Entity Recognition in Natural Language Processing" offers a comprehensive introduction to enhancing the contextual understanding of models for named entity recognition in the medical field. It addresses specific techniques for improving the perception of positional information in pre-trained models and for identifying and denoising unlabeled entities. Chinese medical named entity recognition represents a significant subfield of intelligent medicine, aimed at extracting hidden information from medical texts and providing relevant medical entity information for clinical decision-making and medical classification. This specialized book is aimed at researchers, engineers, and students in the fields of medical management and software engineering.