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


 



Accepted Papers are announced. Congratulations to all authors!!!

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 21, 2023 June 27, 2023
    • Notification to Author: July 7, 2023
    • Camera-ready Deadline: July 10, 2023
    • Workshop: TBA

 

For Author Instructions, please consult the main conference webpage for workshop papers, at http://www.ieee-mipr.org/submit_instruction.html

 

For Submissions, please use the following link and select your track as BD-H23: The 2nd International Workshop on Big Data in Healthcare: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FMIPR2023

 

Note: There may be minor change to the submission deadline according to the policy of the conference. You may divert all your queries, if any, on iw.bdhealth@gmail.com

 

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 MIPR 2023, please see there for registration options.

 

Accepted Papers

S.No.

Title

1

COVID-19 Detection from CT Scan Images using Transfer Learning Approach

2

Computer-aided polyp detection using customized CNN architecture

3

A Personalized Cancer Diagnosis using Text based Clinical Data with Machine Learning Models

4

Prediction of Muscle Power in Elderly Using Functional Screening Data

5

Toward Transparent Sequence Models with Model-Based Tree Markov Model

 

Technical Program

The following is the program summary for the 6th IEEE MIPR 2023. Please note that all timings are in SST.


Please refer to the detailed program and time slots for your paper at IEEE-MIPR 2023 webpage.

 

Partners


History

    BDH 2020 (New Delhi, India)

 

 


© 2023 Gaurav Bhatnagar | Last updated: June 21, 2023