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Special Issue 2020 : Special Issue on Advance Machine Learning Fusion Approaches for COVID-19
Special Issue 2020 : Special Issue on Advance Machine Learning Fusion Approaches for COVID-19

Special Issue 2020 : Special Issue on Advance Machine Learning Fusion Approaches for COVID-19

Submission Deadline: September 01, 2020




About

The main objective of this special issue is to develop innovative, state-of-the-art fusion of advance machine learning approaches with complex real life problems to protect from this hazardous pandemic. This special issue provides an ideal platform to submit manuscripts that discuss the prospective fusion based original developments of advance machine learning experimented on real/original COVID data and innovative ideas in the diagnosis of COVID-19. This issue encourages real time clinical and epidemiological investigations for COVID-19 with novel methodologies. The Issue will act as a resource of guidance to extend COVID research a step ahead to attract many clinical and epidemiological studies on this outbreak, ensuring a fast turnaround time for high quality research.


Call for Papers

Topics appropriate for this special issue include (but are not necessarily limited to):

  • Identification and diagnosis of clinical characteristics of novel corona virus based on real data with expert supervision
  • Novel machine learning techniques for tracking COVID with the help of original clinical data
  • Novel methodologies for effective diagnosis of infection and transmission dynamics of the disease
  • Advanced machine learning techniques fusion with clinical medical image analyses of COVID-19
  • Advanced machine learning techniques for long term and short term risk prediction of COVID-19 based on clinical data
  • Advanced machine learning techniques for evaluation of impact of interventions including pharmaceutical and non-pharmaceutical approaches.
  • Advance machine learning based fusion modelling of COVID-19 spread based on original data
  • Advance machine learning, forecasting and inference from pandemic data
  • Focused advance deep learning algorithms for infectious disease modelling based on clinical data
  • Fusion of machine learning and quantitative social science approaches for epidemiological models
  • Fusion of advanced machine learning techniques and real time big data for future challenges of COVID-19



Credits and Sources

[1] Special Issue 2020 : Special Issue on Advance Machine Learning Fusion Approaches for COVID-19


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