A Cumulative Training Approach to Schistosomiasis Vector Density Prediction
The purpose of this paper is to propose a framework of building classification models to deal with the problem in predicting Schistosomiasis vector density. We aim to resolve this problem using remotely sensed satellite image extraction of environment fea
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Abstract. The purpose of this paper is to propose a framework of building classification models to deal with the problem in predicting Schistosomiasis vector density. We aim to resolve this problem using remotely sensed satellite image extraction of environment feature values, in conjunction with data mining and machine learning approaches. In this paper we assert that there exists an intrinsic link between the density and distribution of the Schistosomiasis disease vector and the rate of infection of the disease in any given community; it is this link that the paper is focused to investigate. Using machine learning techniques, we want to accumulate the most significant amount of data possible to help with training the machine to classify snail density (SD) levels. We propose to use a novel cumulative training approach (CTA) as a way of increasing the accuracy when building our classification and prediction model.
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Introduction
The resurgence of epidemic disease breakouts in regions of Asia and South America in the past decade has given local governments and health organisations cause for much concern. The devastating impact that these diseases can have on many aspects of human, cattle and crop life incurs huge financial and social cost. This rationale makes research into the prevention and preparation for future outbreaks, a problem that requires immediate attention and one that is crucial to supporting the locally affected municipalities [1]. The epidemic disease Schistosomiasis is detrimental to many sections of society in China. Schistosomiasis is the second most widely affected disease in the world as stated by the World Health Organisation [2]. It is a disease, which is transmitted through water infected by parasites known as Schistosomes. The intermediate host of the disease is the Oncomelania Hupensis snail. Humans are affected mainly through freshwater used for washing clothes and household items as well as through infected crops and cattle. The affect it can have on many areas of human, cattle, crop life both in terms of health and financially is a valid cause for concern [1]. To combat Schistosomiasis can be very difficult due to the fact that there is no vaccine available against the disease and therefore it can only be treated once the patient has been infected. Currently, the most effective way of dealing with the disease is by c IFIP International Federation for Information Processing 2016 Published by Springer International Publishing Switzerland 2016. All Rights Reserved L. Iliadis and I. Maglogiannis (Eds.): AIAI 2016, IFIP AICT 475, pp. 3–13, 2016. DOI: 10.1007/978-3-319-44944-9 1
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T. Fusco and Y. Bi
trying to establish areas that are of high risk of the disease and putting in place preventative measures such as chemical treatment to specific freshwater areas [3] in order that the disease is addressed before the vectors multiply or increase in density and distribution. An alternative solution is to plant poplar trees, which would disturb the natural vegetation and moisture factors that encourage sn
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