Introducing knowledge into data-driven intelligent computing models to enhance their reliability and interpretability is an important way to achieve human-machine hybrid intelligence; Smart healthcare is an interdisciplinary field, which is a product of the cross fusion of various disciplines such as healthcare, informatics, knowledge engineering, computer science, intelligent computing, etc. The field of smart healthcare has high requirements for the interpretability of methods, and knowledge enhanced intelligent computing are perfectly matched with it. This workshop aims to provide a unique forum for experts in computer science, information science, healthcare and other interdisciplinary fields to gather for discussions on knowledge-enhanced intelligent computing in healthcare. Knowledge-enhanced intelligent computing in healthcare can improve the accuracy and reliability of AI-aided healthcare decision support, therefore, it can also hopefully provide insights to enhance the development of decision analytics in a broader sense.
Topics of Interest
Workshop topics of interest include, but are not limited to, the following:
- Concept-Cognitive Learning and Knowledge Representation
- Granular Computing and Knowledge Reasoning
- Formal Concept Analysis and Knowledge Graph
- Data Mining and Knowledge Discovery
- Knowledge-enhanced Theory and Methods
- Intelligent Computing Theory and Methods
- Healthcare Informatics Theory and Methods
- Emerging Technologies in Smart Healthcare
- Intelligent Computing in Healthcare
- Decision Analytics in Healthcare
Paper Submission
Paper submission system is available at:
https://easychair.org/conferences/?conf=kich2025
All papers will be reviewed by the Workshop Committee on the basis of technical quality, relevance to knowledge and healthcare, originality, significance and clarity.
Please note:
- All submissions should use IEEE two-column style.
- All papers must be submitted electronically through the paper submission system in PDF format only.
- KICH 2025 accepts:
- Research papers (8 pages)
- Special session papers (6 pages)
- Doctoral Symposium papers (6 pages)
- The page count excludes the references.
- Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review.
- Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings.
- Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation.
- Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work.
Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements and indexed by EI. Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals.
The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.
The EasyChair service was used for managing the peer-reviewing process for this conference. This service was provided for free by EasyChair Ltd.
Important Dates
Workshop Committee
Workshop Chair
Prof. Enliang Yan (South China Normal University, China)
Workshop Co-Chairs
- Prof. Tianyong Hao (South China Normal University, China)
- Prof. Chaoqun Fei (South China Normal University, China)
- Prof. Wenxiu Xie (Guangdong Polytechnic Normal University, China)
Workshop Committee
(To be confirmed)
Contact
If you have any questions or confusion about submission, please contact us:
yanenliang@m.scnu.edu.cn
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