The 1st Workshop on Big Data in Healthcare will be held in New Delhi2020, in conjunction with IEEE, BigMM 2020. We invite the submission of papers on original and unpublished research on all aspects of Big Data in Healthcare.
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 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
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