Patient’s Cancer Categorization Based On Jaccard and Venn Techniques

Nurul Omar - Department of Web Technology, Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 84600, Malaysia
Riswan Efendi - epartment of Mathematics, UIN Sultan Syarif Kasim Riau, Pekanbaru, 28293, Indonesia
Norfaradilla Wahid - Department of Web Technology, Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 84600, Malaysia
Afiq Luqman Mohd Yasin - Department of Software Engineering, Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 84600, Malaysia

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.

Keywords


Cancer; Jaccard index; Similarity; Venn diagram; Categorization.

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References


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DOI: http://dx.doi.org/10.30630/joiv.2.3-2.135

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