期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：8
页码：72-79
出版社：Science and Information Society (SAI)
摘要：The purpose of this study is to analyse the keyword
relationships of paediatric cancer patient’s experiences whilst
being hospitalised during the treatment session. This study
collects data through 40 days of observations on 21 paediatric
cancer patients. A combination of text analytical visualizations
such as network analysis map and bubble graph to analyse the
data is applied in this study. Through the analysis, keywords
such as “cri” (crying), “lay” (laying), “sleep” (sleeping) and
“watch” (watching) are found the most common activities that
have been experienced by paediatric cancer patients when they
were hospitalised. Based on this observation, it can be argued
that these activities can be represented as the experience that
they have whilst being in the hospital. Based on the findings,
hospitalised paediatric cancer patient’s experience is limited due
to the treatment protocol that requires them to be attached to
intravenous line. Therefore, most of their activities are focused in
bed such as sleeping, playing with their mobile, watching video
and so on in bed. This study also offers a novel approach of
transforming cancer patient data into useful knowledge about
keyword relationship in paediatric cancer patient’s experience
during their stay in the hospital. The incorporation of these two
text analytics offers insights for researchers to understand the
interesting hidden knowledge in the collection of unstructured
data, and this information can be used by medical providers,
psychologists, games designers and others to develop any
applications that can assist their difficulties and ease their pain
while warded in the hospital.
