In today’s digital age, the field of healthcare is constantly evolving, with new challenges and opportunities emerging. As technology continues to advance, the need for efficient and effective ways to process health information becomes increasingly important. The 8th China Conference on China Health Information Processing Conference, held in Hangzhou, China, from August 26-28, 2022, brought together experts in the field to discuss the latest advancements and research in healthcare information processing. This book, titled “Healthcare Natural Language Processing and Data Mining: Proceedings of the 8th China Conference on China Health Information Processing Conference 2022,” captures the essence of the conference, presenting cutting-edge research and insights in the field.

Edited by Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Tianyong Hao, Yanshan Wang, and Haitian Wang, this book is a compilation of 14 carefully selected and reviewed papers out of a total of 35 submissions. The papers cover a wide range of topics related to healthcare natural language processing and healthcare data mining and applications. The volume is organized into two main sections, each focusing on a specific aspect of health information processing.

Healthcare Natural Language Processing

The first section of the book explores the field of healthcare natural language processing (NLP). NLP is a subfield of artificial intelligence that focuses on the interaction between computers and human language. In healthcare, NLP techniques can be applied to analyze and extract meaningful information from medical texts, such as electronic health records, clinical notes, and scientific literature. The papers in this section provide valuable insights into the latest advancements in healthcare NLP, including techniques for clinical named entity recognition, medical entity linking, and sentiment analysis of patient reviews.

Healthcare Data Mining and Applications

The second section of the book delves into healthcare data mining and its applications. Data mining is the process of discovering patterns and insights from large datasets, and in the context of healthcare, it can be used to improve diagnosis, treatment, and patient outcomes. The papers in this section cover a range of topics, including predictive modeling for disease progression, analysis of healthcare social networks, and data-driven approaches for personalized medicine. The insights presented in these papers have the potential to revolutionize the way healthcare is delivered and improve patient care.

As the healthcare industry continues to embrace digital transformation, the need for advancements in health information processing becomes crucial. This book serves as a valuable resource for researchers, practitioners, and students in the field of healthcare informatics and related disciplines. The diverse range of topics covered in the book provides a comprehensive overview of the current state-of-the-art in healthcare NLP and data mining.

With its focus on the latest research and advancements, “Healthcare Natural Language Processing and Data Mining” is an essential read for anyone interested in staying abreast of the latest developments in the field. The book presents a unique opportunity to gain insights from leading experts in the healthcare informatics community. By reading this book, you will gain a deeper understanding of the current challenges and opportunities in health information processing and be better equipped to contribute to the advancement of the field.

Product Details

• Publisher: Springer; 1st ed. 2023 edition (February 22, 2023)
• Language: English
• eBook Digital: 226 pages
• ISBN-10: 9811998647
• ISBN-13: 978-9811998645

Ordering this book will give you exclusive access to the latest research and advancements in healthcare information processing. Whether you are a researcher, practitioner, or student in the field, this book is your gateway to expanding your knowledge and contributing to the future of healthcare. Don’t miss out on the opportunity to stay ahead of the curve and order your copy of “Healthcare Natural Language Processing and Data Mining” today!