The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).
If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.
Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.
BibTex Citation Data :
@article{JOIV135, author = {Nurul Omar and Riswan Efendi and Norfaradilla Wahid and Afiq Luqman Mohd Yasin}, title = {Patient’s Cancer Categorization Based On Jaccard and Venn Techniques}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {2}, number = {3-2}, year = {2018}, keywords = {Cancer; Jaccard index; Similarity; Venn diagram; Categorization.}, 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.}, issn = {2549-9904}, pages = {175--178}, doi = {10.30630/joiv.2.3-2.135}, url = {https://joiv.org/index.php/joiv/article/view/135} }
Refworks Citation Data :
@article{{JOIV}{135}, author = {Omar, N., Efendi, R., Wahid, N., Mohd Yasin, A.}, title = {Patient’s Cancer Categorization Based On Jaccard and Venn Techniques}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {2}, number = {3-2}, year = {2018}, doi = {10.30630/joiv.2.3-2.135}, url = {} }Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
__________________________________________________________________________
JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
View JOIV Stats
is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.