[AISWorld] CFP: SI with IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

[严珂]

Dear authors/professors/scientists,
 
 
 
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) is a well reputable journal in the fields of computational biology, healthcare engineering, bio-medical research and bioinformatics.
 
 
 
Based on evaluation on your existing publications in the related fields, we would like to invite you to contribute one article/review to the special issue: “Machine Learning for AI-Enhanced Healthcare and Medical Services: New Development and Promising Solution” with IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB, IF=2.428, deadline: 30 Dec 2018).
 
 
 
The topics of interest include, but not limited to the following topics:
 
- AI enhanced clinical decision making;
 
- Biomechanics, modeling and computing;
 
- AI based computer vision topics on medical images;
 
- Big data research and project experience in bio-medical and healthcare services;
 
- Knowledge-based or agent-based models for biological systems;
 
- Distributed systems in medical and healthcare services;
 
- Intelligent devices and instruments for medical and healthcare services;
 
- Machine learning in medicine, human biology, and healthcare;
 
- Intelligent and process-aware information systems in human biology, healthcare and medicine;
 
- AI and data science for human biology, medical and healthcare services;
 
- AI in medical and healthcare education.
 
 
 
 
 
To submit your works, simply log into the TCBB journal online submission system (https://mc.manuscriptcentral.com/tcbb-cs) followed by selecting the option: ‘SI-MLHealth-2018’ by 30 Dec 2018. For detailed information, please refer to the CFP flyer attached to this email.
 
 
 
Please kindly notice that all submissions to the SI will go through a formal review process with at least three professional reviewers in the related field. We will try our best to return the review comments to you within a month after your submission. Whether your paper will be accepted by the journal will strictly depend on the reviewers’ recommendation.
 
 
 
Best regards,
 
 
 
Ke Yan (Ph.D.)
 
Leading/Corresponding guest editor,
 
Associate Professor,
 
China Jiliang University
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