Biomedical Informatics with Optimization and Machine Learning

EURASIP Journal on Advances in Signal Processing welcomes submissions to the thematic series on Biomedical Informatics with Optimization and Machine Learning .

This special issue is a continuation of the existing partnership between EURASIP JBSB and the International Workshop of Biomedical Informatics with Optimization and Machine Learning (BOOM). Following the success of the 1st BOOM in July 2016 in New York City, United States, in conjunction with the 25th International Joint Conference on Artificial Intelligence (IJCAI), the 2nd BOOM will be held in August 2017 in Melbourne, Australia, in conjunction with the 26th IJCAI.  A selected number of both methodology-driven and application-driven papers will be considered for publication, covering a broad spectrum of topics.  Strongly encouraged are papers with important new insights and experiences at the intersection of machine learning, optimization and bioinformatics.

Potential topics include but are not limited to:

  • Applying cutting-edge machine learning (e.g., deep learning) and optimization techniques to tackle real-world medical and healthcare problems. 
  • Addressing challenges and roadblocks in biomedical informatics with reference to the data-driven machine learning, such as imbalanced dataset, weakly-structured or unstructured data, noisy and ambiguous labeling, and more. 
  • Designing novel, applicable numerical optimization algorithms for biomedical data, that is usually large-scale, high-dimensional, heterogeneous, and noisy. 
  • Re-visiting classical machine learning topics such as clustering, classification, regression and dimension reduction, that find application values in newly-emerging biomedical informatic problems. 
  • Other closely-related disciplines, such as image processing, data mining, new computing technologies and paradigms (e.g., cloud computing), control theory, and system engineering. 
  • Computational Biology, including advanced interpretation of critical biological findings, databases and cutting-edge computational infrastructure.
  • Clinical Informatics, including the scenarios of using computation and data for healthcare, dentistry, nursing, pharmacy, and allied health.
  • Public Health Informatics, including studies on patients and populations to improve the public health system and to elucidate epidemiology.
  • Health Applications, including the use of mobile apps and wearable sensors for health management and wellness promotion. 
  • Cyber-Informatics Applications, including the use of social media data mining and natural language processing for clinical insight discovery and medical decision making.

Submission Instructions

Before submitting your manuscript, please ensure you have carefully read the submission guidelines for EURASIP Journal on Advances in Signal Processing. The complete manuscript should be submitted through the EURASIP Journal on Advances in Signal Processing submission system. To ensure that you submit to the correct special issue please select the appropriate special issue in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the special issue on Biomedical Informatics with Optimization and Machine Learning . All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.

Deadline for submissions: 31st December 2017

Lead Guest Editor

Shuai Huang, University of Washington, USA

Guest Editors

Yang Shen, Texas A&M University, USA

Jiayu Zhou, Michigan State University, USA

Zhangyang Wang, Texas A&M University, USA

Qing Ling, University of Science and Technology of China, China

Submissions will also benefit from the usual advantages of open access publication:

  •  Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
  • High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
  • No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
  • Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed

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