In the era of big data, healthcare data analytics and mining have emerged as critical fields, enabling the transformation of vast amounts of data into actionable insights. These advancements hold the potential to revolutionize healthcare systems, improve patient outcomes, and optimize operational efficiency. This special issue, "Healthcare Data Analytics and Mining," seeks to address the challenges and opportunities associated with the integration of data science into healthcare.

The primary goal of this special issue is to advance the understanding and application of data analytics and mining techniques in the healthcare sector. We invite contributions that explore innovative methods, tools, and frameworks for analyzing healthcare data, with particular interest in the development and application of predictive analytics, machine learning, and data mining techniques to enhance decision-making processes.

The China Conference on Health Information Processing (CHIP) proposes the “Healthcare Data Analytics and Mining” theme issue to promote interdisciplinary research. CHIP is the annual symposium organized by the Chinese Information Processing Society of China (CIPS) Technical Committee of Medical, Health and Biological Information Processing. It is a leading international conference in China, health information processing. The conference provides a platform for researchers and practitioners from academia, industry, and government worldwide to share their ideas, research findings, and experiences to advance the field. Previous CHIP conferences were successfully held from 2015 to 2023, with experts from the United States, Germany, France, United Kingdom, Japan, Australia, China, and other countries presenting their latest research and achievements. All submitted papers undergo a thorough review process based on international standards.

CHIP will select the highest-scoring papers and recommend them for the theme issue. Additionally, authors who do not attend CHIP are invited to submit papers aligned with the theme directly to IJDSA (International Journal of Data Science and Analysis). This issue welcomes articles on the technologies, methodologies, applications of NLP in the health/medical sector, and viewpoints/reviews. The theme issue will be expected to showcase various new developments in these areas. Authors are encouraged to submit high-quality original research articles, mainly describing original research and presenting results that advance state-of-the-art.

Through this special issue, we aim to foster interdisciplinary collaboration and advance the field of healthcare data analytics. We welcome researchers from various disciplines to provide interdisciplinary perspectives on healthcare data analytics and mining. Your contributions will play a crucial role in advancing knowledge in this field.