Data visualization of chronic kidney disease symptoms / Hanif Ikmal Ahmad Akibi and Hawa Mohd Ekhsan

Ahmad Akibi, Hanif Ikmal and Mohd Ekhsan, Hawa (2023) Data visualization of chronic kidney disease symptoms / Hanif Ikmal Ahmad Akibi and Hawa Mohd Ekhsan. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 5.0). College of Computing, Informatics and Media, UiTM Perlis, pp. 77-78. ISBN 978-629-97934-0-3

Abstract

Chronic kidney disease is one of the primary causes of mortality in society. Neglecting this disease will expose you to incredibly serious risks and consequences. The factors that contribute to the increment of the mortality are the lifestyle, lack of awareness among society and even among practitioner doctors. Chronic kidney disease can strike anyone, regardless of age or gender. What makes it different is the risk level of each factor. Due to that, an awareness campaign towards this disease must be taken seriously so that early diagnosis of this disease can be made to avoid harmful scenarios. Thus, an interactive dashboard called Dashney comes to the rescue, where the features included in this interactive dashboard are charts visualization and a self-service analytic model. To complete the dashboard, System Development Life Cycle (SDLC) methodology is used which focus on the public user needs. Finally, the finding shows that Dashney is a well-accepted dashboard as it provides the information about symptoms of chronic kidney disease which can help users to get educated about chronic kidney disease and its risk. By knowing this knowledge, people will be aware of their own health and take a precautious step to prevent the disease.

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Item Type: Book Section
Creators:
Creators
Email / ID Num.
Ahmad Akibi, Hanif Ikmal
UNSPECIFIED
Mohd Ekhsan, Hawa
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 77-78
Keywords: dashboard, chronic kidney disease, symptoms
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/100477
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