Health Information Processing

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Guest Editors:

Zhengxing Huang
Email: zhengxinghuang@zju.edu.cn
Zhejiang University, Hangzhou, China

Buzhou Tang
Email: tangbuzhou@gmail.com
Harbin Institute of Technology, Shenzhen, China

Tianyong Hao
Email: haoty@126.com
South China Normal University, Guangzhou, China

Call for Papers Announcement

We invite submissions for a special issue of Mathematical Biosciences and Engineering focused on information processing technologies applied in healthcare and medical fields. This special issue aims to provide a collection of emerging theories, cutting-edge methodologies, and novel technologies that enable research and application in health information processing for efficient clinical decision making and effective health service delivery.

Meaning use of health information, including a large volume of electronic health records, patient-generated self-tracking data, and clinical research results data, have been viewed as the most promising tool for improving the overall quality, safety and efficiency of health service delivery, and recognized as the basic staple of clinical decision making. One of the rapidly growing areas of health information processing lies in the advanced use and application of data sciences and machine learning, to emphasize the precise and comprehensive applications of health information. In this call, we focus on sharing recent advances in algorithms and applications that involve combining multiple sources of health information. Possible topics include, but are not limited to:

• Computational health information analysis
• Deep learning for health and medicine
• Next-generation health information processing technologies
• Using novel data sources (e.g., patient self-reported data, case reports, social media, or clinical research data) for clinical decision making
• Multi-modality combining data, text, videos, images, sound, gene, signals, etc.
• Cross modality learning
• Applications of multimodal learning in medical areas
• Integrating multiple data or knowledge sources for medical knowledge engineering
• Standards-based representation, sharing, and reuse of machine learning algorithms for health information processing

This special issue is in cooperation with the 2018 China Health information Processing conference (http://icrc.hitsz.edu.cn/chip2018/index2.html) and also beyond it. It is dedicated to cover the related topics on technological advancements for health information processing with focus on data science and machine learning. Only original research contributions will be considered.

Paper Submission

Full text submission due date: 30 March, 2019.
Full paper should be submitted online to the journal at
http://oeps.aimspress.com/mbe/ch/author/login.aspx
Before submission, authors should carefully read over the instruction for Authors which are located at http://www.aimspress.com/news/295.html

Chunkai Zhang, Yingyang Chen, Ao Yin, Xuan Wang
+ Abstract     + HTML     + PDF(1605 KB)
Xuwen Wang, Yu Zhang, Zhen Guo, Jiao Li
+ Abstract     + HTML     + PDF(1073 KB)
Zhichang Zhang, Yu Zhang, Tong Zhou, Yali Pang
+ Abstract     + HTML     + PDF(583 KB)
Yutong Man, Guangming Liu, Kuo Yang, Xuezhong Zhou
+ Abstract     + HTML     + PDF(765 KB)
Hanyu Zhao, Chao Che, Bo Jin, Xiaopeng Wei
+ Abstract     + HTML     + PDF(609 KB)
Kaiyin Zhou, YuxingWang, Sheng Zhang, Mina Gachloo, Jin-Dong Kim, Qi Luo, Kevin Bretonnel Cohen, Jingbo Xia
+ Abstract     + HTML     + PDF(913 KB)
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