JOIV : International Journal on Informatics Visualization
Vol 2, No 3-2 (2018): The Diversity in Information Systems

Patient’s Cancer Categorization Based On Jaccard and Venn Techniques

Nurul Aswa Omar (Universiti Tun Hussein Onn Malaysia, Johor, Malaysia)
Riswan Efendi (UIN Sultan Syarif Kasim Riau, Pekanbaru, Indonesia)
Norfaradilla Wahid (Universiti Tun Hussein Onn Malaysia, Johor, Malaysia)
Afiq Luqman Mohd Yasin (Universiti Tun Hussein Onn Malaysia, Johor, Malaysia)



Article Info

Publish Date
06 Jun 2018

Abstract

Under some circumstances, hospitals and clinics need to know the preliminary patient’s disease categorization, such as H1N1, Dengue, HIV/AIDS and others. However, categorizing patients will be useful in the future if the hospitals  properly recorded their patient criteria and crucial details such as patient’s name, symptoms, temperature and others. There are many benefits by grouping the patients together such as the hospitals will know how to provide an appropriate medicine to the patient, which patient will get the highest priority and should be quarantined.  It is very important to know how to group the patients by using their symptoms detected. This study will focus on patients with cancer problems using Jaccard index and Venn diagram techniques. Their data will be collected from a hospital and the patients are selected randomly. Patients with lungs, brain and breast cancer will be selected in this study.

Copyrights © 2018






Journal Info

Abbrev

joiv

Publisher

Subject

Computer Science & IT

Description

JOIV : International Journal on Informatics Visualization is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of Computer Science, Computer Engineering, Information Technology and Visualization. The journal publishes state-of-art ...