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Predicting Disease Outbreaks Using A Support Vector Machine Model, Nicolae Dragu
Predicting Disease Outbreaks Using A Support Vector Machine Model, Nicolae Dragu
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The purpose of this research is to create an efficient way of detecting disease outbreaks from news articles using Support Vector Machines (SVM). An SVM is a supervised machine learning method used for classification and regression problems. The role of the SVM in this project is to “learn” to distinguish between news articles that may indicate a disease outbreak and those that do not.
A series of health-related articles from the World Health Organization is parsed using a Java program in order to create vectors for the SVM. Each such article thus results in a vector. A basic negation detection …