The 4th China Conference on Health Information Processing (CHIP 2018)
来源: 郝天永/

The 4th China Conference on Health Information Processing (CHIP 2018)

The 4th China Conference on Health Information Processing (CHIP) is the annual symposium of the Chinese Information Processing Society of China (CIPS) Technical Committee of Medical, Health and Biological Information Processing. CHIP is a leading international conference specialized in the fields of health information processing in China. It serves as a main forum for researchers and practitioners from academia, industry and government all over the world to share their ideas, research results and experiences for further promotion in the fields. The previous CHIP conferences were successfully held in Shenzhen (2015, 2016 and 2017). In the last three conferences, experts from USA and China shared their research results and experiences only by oral presentations. Since 2017, the conference has added a tutorial section and began to call for papers. In the tutorial section last year, invited speakers introduced fundamental tasks and methods in the medical informatics and shared their recent achievements. All accepted papers were recommended to SCI-indexed journals such as BMC Medical Informatics and Decision Making.

The purpose of the 4th China Conference on Health Information Processing is to bring together researchers and practitioners interested in the application of information technologies to healthcare and medicine in general and to the support of persons with special needs in particular.

Health information processing is one of the most important tasks in the fields of life science and medicine. It has been attracted more and more attentions, and many computational approaches have been developed. There are two main topics in health information processing: medical data mining, and bioinformatics.

For medical data mining, its aim is to utilize information techonlogies (such as text mining, natural lanuge processing, image processing, data mining, machine learning, intelligent decision support systems, ontologies, mobile technologies, etc.) to remanage and reuse health data. Unstructured data is converted into structured data, information of interest is extracted, knowledge is discoveried and well visualized through these techniques.

For bioinformatics, to expedite analyses of increasing number of biological sequences, many machine-learning algorithms have been introduced into computational biology. By using these techniques, protein structures and functions can be identified based on their primary sequences, and genomics functions can also be analyzed via the sequence data, such as promoter identification, enhancer identification, and disease relationship prediction, etc.

To further development of related technology, CHIP encourages authors to submit papers to one of the main topics indicated below, describing original work, including methods, techniques, advanced prototypes, applications, systems, tools or survey papers, reporting research results and/or indicating future directions. Accepted papers will be recommended to some SCI-indexed journals. Acceptance will be based on quality, relevance and originality.

We invite the research community to submit original research papers in the following topics:

  Text mining and natural language processing on biomedical, clinical, or social web data (such as literature, EHRs, clinical trials, social media about healthcare etc.);

  Clinical image informatics;

  Data mining or machine learning on biomedical, clinical or social web data (such as literature, EHRs, clinical trials, social media about healthcare etc.);

  Resources and Annotations on biomedical, clinical or social web data (such as literature, EHRs, clinical trials, social media about healthcare etc.);

  Health Information Retrieval and Extraction;

  Medical Ontologies;

  Healthcare knowledge representation & reasoning;

  Clinical Decision Support and Informatics;

  Wearable Health Informatics;

  Mobile Technologies for Healthcare Applications;

  Novel tools and ontologies for biomedical, clinial or social web data interpretation and visualization;

  Novel tools and ontologies for data interpretation and visualization;

  DNA, RNA, and protein feature extraction algorithms, and their applications to computational biology;

  Protein structure and function prediction based on machine learning methods;

  DNA binding protein and RNA binding protein identification;

  Epigenomics and disease relationship prediction;

  Piwi-interacting RNA, microRNA, and long noncoding RNA prediction;

  Protein-protein interaction and their binding site prediction;

  Enhancer, promoter prediction and their function analysis;

  Recombination hot/cold spot identification;

  Motif and regulatory element identification from high-throughput data;

  Advanced machine learning methods and their applications to bioinformatics.

Submission Deadline :

October 10th, 2018 (23:59, Beijing time)


Notification :

November 10th, 2018


Main Conference :

Decmber 1st-2nd, 2018

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