3. Data Set Description

\label{data-set-description}
This section describes the details of dengue disease dataset. The real life data are collected from the different hospitals located inDelhi during the months May to October 2016. A detailed questionnaire is prepared to acquire the relevant information about the patients which is given in Annexure-1.The discretion of dengue dataset is summarized in Table 1. This dataset consists of 110 data instances with sixteen attributes and having two classes such dengue positive and negative. The attribute of dengue dataset are Age (years), Sex(M/F), Temperature, Pulse, Platelet count, Fever, Vomit, Abdomen pain, Chills, Body ache, Headache, Weakness, Dengue Antigen (NS1), IGM,IGG, Dengue NS1 Antigen (Elisa). The objective of this dataset is to earlier diagnosis of Dengue disease. It is a two-class problem with class label dengue positive and negative. The dengue positive class describes a patient with dengue disease, whereas, dengue negative class specifies a person without the dengue disease. There are 85 samples of class dengue positive and 25 samples of class dengue negative. The purpose of the study is to investigate the relationship between the dengue diagnostic result and environmental, physiological parameters. The normalized values of all attributes of dengue dataset are presented in Table 2. Fig. 1 shows the visual representation of the attributes of dengue dataset.
Table 1: Normalized values of different attributes of dengue dataset