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Biomedical Informatics with Optimization and Machine Learning 2016

This special issue is dedicated to the inaugural International Workshop of Biomedical Informatics with Optimization and Machine Learning (BOOM) to be held in July 2016 in New York City in conjunction with the 25th International Joint Conference on Artificial Intelligence (IJCAI). A selected number of both methodology-driven and application-driven papers will be considered for publication, covering a broad spectrum of topics.

Edited by: Yang Shen, Jiayu Zhou, Shuai Huang, Zhangyang Wang and Qing Ling

  1. Content type: Research

    Autism spectrum disorder (ASD) is a developmental disorder that significantly impairs patients’ ability to perform normal social interaction and communication. Moreover, the diagnosis procedure of ASD is highl...

    Authors: Jianbo Yuan, Chester Holtz, Tristram Smith and Jiebo Luo

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2017 2017:3

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  2. Content type: Research

    Online community-based health services accumulate a huge amount of unstructured health question answering (QA) records at a continuously increasing pace. The ability to organize these health QA records has bee...

    Authors: Mohammad Akbari, Xia Hu, Liqiang Nie and Tat-Seng Chua

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:18

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  3. Content type: Research

    Identifying the residues in a protein that are involved in protein-protein interaction and identifying the contact matrix for a pair of interacting proteins are two computational tasks at different levels of a...

    Authors: Tianchuan Du, Li Liao and Cathy H. Wu

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:17

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  4. Content type: Research

    The rapidly expanding corpus of medical research literature presents major challenges in the understanding of previous work, the extraction of maximum information from collected data, and the identification of...

    Authors: Victor Andrei and Ognjen Arandjelović

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:16

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  5. Content type: Research

    Principal component analysis (PCA) is a dimensionality reduction and data analysis tool commonly used in many areas. The main idea of PCA is to represent high-dimensional data with a few representative compone...

    Authors: Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain and Jiayu Zhou

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:15

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  6. Content type: Research

    Prediabetes is a major epidemic and is associated with adverse cardio-cerebrovascular outcomes. Early identification of patients who will develop rapid progression of atherosclerosis could be beneficial for im...

    Authors: Xia Hu, Peter D. Reaven, Aramesh Saremi, Ninghao Liu, Mohammad Ali Abbasi, Huan Liu and Raymond Q. Migrino

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:14

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  7. Content type: Research

    Recent years have witnessed an increasing interest in the application of machine learning to clinical informatics and healthcare systems. A significant amount of research has been done on healthcare systems ba...

    Authors: Kuan Wang and Jiebo Luo

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:13

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  8. Content type: Research

    By 2050, it is estimated that the number of worldwide Alzheimer’s disease (AD) patients will quadruple from the current number of 36 million, while no proven disease-modifying treatments are available. At pres...

    Authors: Yan Jin, Yi Su, Xiao-Hua Zhou and Shuai Huang

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:12

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