Introduction |  Important Dates | Instructions | Organizing Committee | Technical Program Committee | Technical Program


 



The submission deadline is extended until July 10, 2020.

Introduction

Big data refers to enormous amount of information that can do wonders. The last decades have witnessed the special interest of researchers working in different domains due to the extraordinary potential concealed in big data. Numerous public and private organizations create, store and analyze big data in pursuit of improving the services they provide. In healthcare, big data is observed from various avenues such as hospital records, patients medical records, medical examinations reports and sophisticated devices that are usually part of internet of things. In contrast, biomedical research community also generates substantial amount of big data relevant to public healthcare. This data needs to be properly managed and analyzed in order to extract and utilize meaningful information else it resembles with finding a straw from haystack. However, there are diverse defiance linked with each step of handling big data and can only be exceeded by utilizing high-end computing solutions for big data analysis. Therefore, healthcare providers must be completely equipped with necessary infrastructure for generating and analyzing big data to provide relevant solutions to improve public health. A coherent management, analysis and visualization of big data can make a difference by opening contemporary avenues in modern healthcare.

 

The intent of this workshop is to bring together researchers, practitioners, and scientific communities to report and discuss the common challenges, advancements and opportunities of big data in healthcare. The workshop will focus on all relevant aspects of big data in health care. Example topics of interest include, but are not limited, to the following:

    • Novel big data based frameworks for healthcare systems
    • Predictive analysis and modelling in healthcare systems
    • Big data for disease diagnosis
    • Big data for electronic health records
    • Big data for biomedical informatics
    • Behavioral and clinical big data
    • Cloud/grid/stream computing for big data
    • High performance/parallel computing platforms for big data
    • Security and privacy in healthcare systems
    • Complex big data applications in medicine and healthcare
    • Machine and deep learning for healthcare
    • Health Analytics and Informatics
    • Digital health and Precision Medicine

 

Important Dates & Instructions

    • Submission Deadline: June 7, 2020 July 10, 2020
    • Notification to Author: June 30, 2020 July 31, 2020
    • Camera-ready Deadline: July 5, 2020 August 5, 2020
    • Workshop: TBA

 

For Author Instructions, please consult the main conference webpage for workshop papers, at http://bigmm2020.org/index.php/authors/submission-instructions

 

For Submissions, please use the following link and select your track as BD-H20: The 1st International Workshop on Big Data in Healthcare: https://easychair.org/conferences/?conf=bigmm2020

 

Note: There may be minor change to the submission deadline according to the policy of the conference.

 

Organizing Committee


Gaurav Bhatnagar
IIT Jodhpur, India


Subrahmanyam Murala
IIT Ropar, India


Jonathan Wu
University of Windsor, Canada


Zheng Liu
UBC (Okanagan Campus), Canada

 

Registration

The Workshop is in conjunction with IEEE BigMM 2020, please see there for registration options.

 

Technical Program Committee

TBD

 

Technical Program

TBD

 

 


© 2020 Gaurav Bhatnagar | Last updated: March 18, 2020