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