Health Information Science: 11th International Conference, HIS 2022, Virtual Event, October 28–30, 2022, Proceedings (Lecture Notes in Computer Science, 13705)

By Agma Traina, Hua Wang, Yong Zhang, Siuly Siuly, Rui Zhou, Lu Chen
This book constitutes the refereed proceedings of the 11th International Conference onHealth Information Science, HIS 2022, held in Virtual Event during October 28–30, 2022.The 20 full papers and 9 short papers included in this book were carefully reviewed andselected from 54 submissions. They were organized in topical sections as follows: ​applications of health and medical data; health and medical data processing; health and medical data mining via graph-based approaches; and health and medical data classification.

The 11th International Conference on Health Information Science brings together the latest research and advancements in the field of health and medical data. This conference is attended by leading experts, researchers, and professionals from around the world, making it a valuable resource for anyone interested in this rapidly evolving field.

This book, titled “Health Information Science: Applications, Processing, Mining, and Classification,” compiles the proceedings of HIS 2022, providing readers with a comprehensive overview of the conference’s most significant research papers. It features a total of 29 papers, divided into topical sections, covering various aspects of health and medical data analysis. The papers were selected through a rigorous review process, ensuring their quality and relevance.

The first section of the book focuses on the applications of health and medical data. It explores how data can be effectively utilized in healthcare settings, offering valuable insights for improving patient care, disease prevention, and public health strategies. The second section delves into the processing of health and medical data, including techniques for data cleaning, integration, and validation. These papers showcase innovative methods for handling the challenges associated with large-scale data processing in healthcare.

The third section of the book delves into the emerging field of health and medical data mining via graph-based approaches. This section highlights the power of graph-based models in uncovering hidden patterns and relationships in healthcare data, enabling more accurate diagnoses, treatment recommendations, and predictions. Lastly, the book concludes with a section on health and medical data classification, showcasing machine learning and artificial intelligence techniques for classifying and categorizing medical data.

Readers will find this book to be a valuable resource for staying up-to-date with the latest advancements in health information science. The diverse range of topics covered ensures that there is something for everyone interested in the field, whether you are a researcher, healthcare professional, or technology enthusiast.

One of the standout features of this book is its collaborative nature. It is authored by a team of international experts, including Agma Traina, Hua Wang, Yong Zhang, Siuly Siuly, Rui Zhou, and Lu Chen. Their combined expertise and perspectives ensure that the book provides a well-rounded and comprehensive view of the current state of health information science.

In addition to its rich content, the book’s publisher, Springer, is renowned for its high-quality publications in the field of science and technology. The 1st edition of this book is set to be published on October 26, 2022, making it a timely resource for anyone interested in health and medical data analysis.

With its impressive lineup of authors, comprehensive coverage of topics, and rigorous selection process, “Health Information Science: Applications, Processing, Mining, and Classification” is a must-read for professionals and researchers in the field. Whether you are looking to expand your knowledge, explore groundbreaking research, or gain insights into the future of health information science, this book is an invaluable resource.

To order your copy of “Health Information Science: Applications, Processing, Mining, and Classification,” visit the publisher’s website or your favorite online book retailer. By immersing yourself in the latest research and advancements in health information science, you can stay ahead of the curve and make significant contributions to this exciting field.