PhD – Data Mining – University of Sydney, Australia
Worked on Predicting Water Quality Index of Yamuna River
14 Years of experience in Education
All Sessions by Sakshi Babbar
January 30, 2019
Bayesian Network for epidemic prediction and description
10:45 - 11:30
The aim of this talk is to discuss the potential of Bayesian networks in the area of epidemic detection and description. Bayesian network is a type of Probabilistic graphical models used to capture domain knowledge in cause-effect relationships. The model can be learned on big epidemic data collected in hospitals explaining the causal structure present in the data set. The learned model can then be used to timely predict the outbreak and explain the cause of the spread.