Big Data and Machine Learning in Biomedical and Health informatics Contemporary Uses and Prospective Challenges 2019, Conferences - Karpagam College of Engineering, Coimbatore
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Big Data and Machine Learning in Biomedical and Health informatics Contemporary Uses and Prospective Challenges 2019

Big Data and Machine Learning in Biomedical and Health informatics Contemporary Uses and Prospective Challenges 2019
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BMBHI`19 is a second National conference organized by Faculty of Engineering, Department of Biotechnology, Karpagam Academy of Higher Education, Coimbatore. BMBHI`19 aims to bring students at par with the eminent discoveries and inventions relating to Big Data and Machine Learning in the field of biomedical and health informatics. In recent years, the area of Biomedical domain has witnessed significant development and its applications have grown manifold. The data has been rapidly growing exponentially from terabytes to Exabyte. The main goal of this conference is to provide not only a challenging forum all the participants but also to serve as a wonderful platform for them to interact with reputed researchers from all over the country and benefit from the sessions. BMBHI`19 focuses on advancement of big data and machine learning to the development of health care systems. The conference offers 2 days scientific programme with renowned invited speakers and high quality oral presentations. In addition a comprehensive poster presentation session will allow the delegates to present their research findings.
key details
date: 2019-09-12 to 2019-09-13
venue: Karpagam Academy of Higher Education

Location
Coimbatore, Tamil Nadu
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genre: General
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person: : (#7299806627, 9791621945, [email protected])
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registration: Last Dates for Registration:
*Early bird registration closes on 06.09.2019
**Late bird registration closes on 09.09.2019
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contests: ORAL PRESENTATION
POSTER PRESENTATION
details: Paper Presentation Topics:
​Drug discovery & Health care
Health Informatics
Medical Biotechnology
Bioinformatics and Computational Biotechnology
Neuroscience
Biomedical Nanotechnology
Pharmaceutical Technology
Artificial Intelligence
Cheminformatics
Omics Science
Structural Biology
System Biology
Data Mining & Machine Learning
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