Machine learning technique - Classification to predict cholera

Abstract

Cholera is an infectious disease dangerous to humans. It not only affects public health but also has negative impact on economic and social development. This paper proposes classification model using random forests to predict cholera cases in a predetermined time period with the retrospective data about the climate, the environment and the number of cases of cholera in Hanoi from 2007-2010. The results show that the positive approach of this model to predict cholera is consistent and can be put into practice. In addition, the approach can be used as an important input in the decision making process of the preventive healthcare.With the proposed approach, we hope to develop a forecasting model of cholera in Hanoi.