Call for Paper

Data Mining Application Bioinformatics and Medical Informatics: Bioinformatics, Biomedical, Medical Informatics, and Personalized Medicine aims to explore advanced techniques and applications in the field of Bioinformatics, Biomedical, Medical Informatics, and Personalized Medicine researches. The workshop will provide an opportunity for researchers to present and disseminate their latest on-going research work and a change to share their research work with other internationally renowned researches.

The topics of interest include, but are not limited to:


Biological data mining and knowledge discovery
Bio-Ontology and Data mining
High-performance computing as applied to medical sciences
Application of computational intelligence in medicine and biological science
Computer-based medical systems (automation in medicine)
Biological databases and information retrieval
Bio-molecular & Phylogenetic Databases, Biological data visualization, biological data integration
Informatics and Statistics in Biopharmaceutical Research
Sequence analysis and alignment
Medical informatics
Software tools for Bio-Medical Informatics
Biomedical engineering
Molecular Cancer Biology
RNA and DNA structure and sequencing
Protein modeling
Macromolecular structure prediction
Other aspects and applications relating to technological advancements in medicine and biological sciences
Non-intrusive Measurement
Sensors for U-Healthcare
Ambient assisted living & smart homes
Body sensor/area networks
Signal and Data Processing
Wireless/Mobile Healthcare system
Home Healthcare System
Emergency Healthcare System
Telemedicine
Sleep Monitoring & evaluation
Cardiovascular informatics
U-Healthcare for elderly
Brain computer interface
Therapeutic & rehabilitation methods
Energy scavenging technologies

Program of DBMI 2019

Committees



General Chair:

Keun Ho Ryu

Chungbuk National University

Korea

Keynote Speakers:

Tsendsuren Munkhdalai

Microsoft research

Canada

Basabi Chakraborty

Iwate Prefectural University

Japan

Goutam Chakraborty

Iwate Prefectural University

Japan

Mohamed Izzeldin A. Bashir

University of Medical Sciences and Technology

Sudan

Oyun-Erdene Namsrai

National University of Mongolia

Mongolia

Dingkun Li

Karamay Centrol Hospital of Xinjiang

China

Yongjun Piao

Nankai University

China

Hoang Do Thanh Tung

Vietnam Institute of Information Technology (IOIT) of Vietnamese Academy of Science and Technology (VAST)

Vietnam

Meijing Li

Shanghai Maritime University

China

Wang Ling

Northeast Electric Power University

China

Tie Hua Zhou

Northeast Electric Power University

China

 

DBMI 2019 Workshop Registration

On-site Registration

The paper will be published in DBMI 2019 proceeding.

 

Registration fees

Registration Types

Registration Fee (include banquet and tour)

Registration Fee (include banquet)

Registration Fee (no banquet)

Regular Registration

KRW

W115,000

KRW

W110,000

KRW

W100,000

USD

$115

USD

$110

USD

$100

 

Directly to the Registration Desk that will be available during the conference (March 7~9, 2019), from 9:00.AM to 17:00.PM.

 

Contacts

If you have any question concerning DBMI 2019 registration, please email us using this address:

lhagii.lhaku@gmail.comlhagii@dblab.chungbuk.ac.kr

Paper Submission

DBMI 2019: General Guidelines for Submission of Papers Prospective authors are invited to submit their abstract paper, before the announced deadline. E-mail submissions in MS document or PDF formats (Formatting Instructions: DOC) are preferable (postal mail submissions are also fine.).


Abstract paper should include:


- Title of the paper

- Name, affiliation, postal address, E-mail address, telephone number, and fax number for each author.

- The first page should also identify the name of the Contact Author and a maximum of 5 topical keywords that would best represent the content of the paper.

Contact Information

Keun Ho Ryu, Professor, The general chair of DBMI 2019

khryu@dblab.chungbuk.ac.kr

Database/Bioinformatics Laboratory,

Chungbuk National University,

Cheongju 28644, South Korea

Tel: +82-43-261-2254, 010-4930-1500, 010-6430-2254,

Fax: +82-43-275-2254

 

Lkhagvadorj Munkhdalai

lhagii@dblab.chungbuk.ac.kr

Database/Bioinformatics Laboratory,

Chungbuk National University,

Cheongju 28644, South Korea

Tel: +82-43-267-2254