CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia
One of the most famous diseases to ever roam across the globe is cancer. There are many types of cancer but the most common sites are breast, trachea, bronchus, lung, and colon cancer. Cancer can also be found pretty much in every country on earth and our country, Malaysia is not to be missed. The n...
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2-s2.0-85087936679 Hamidi S.R.; Lokman A.M.; Shuhidan S.M.; Hilmi M.I.M.N. CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia 2020 Journal of Physics: Conference Series 1529 2 10.1088/1742-6596/1529/2/022019 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087936679&doi=10.1088%2f1742-6596%2f1529%2f2%2f022019&partnerID=40&md5=bf689c6deeacc05e2610f00bc81bd483 One of the most famous diseases to ever roam across the globe is cancer. There are many types of cancer but the most common sites are breast, trachea, bronchus, lung, and colon cancer. Cancer can also be found pretty much in every country on earth and our country, Malaysia is not to be missed. The number of mortality in Malaysia for cancer is one of the highest and steps can be taken to help reduce the mortality rate. CancerMAS is a web-based dashboard that visualizes cancer incidence in Malaysia using cancer data that can assist cancer researchers to conduct their studies. The dashboard displays visualizations on ten of the highest cancer sites in Malaysia for male and female along with age-groups. The dashboard also presents visualizations of all cancer sites by gender and ethnic as well as the incidence by states in Malaysia. All of the visualizations are in the form of graphs. The dashboard allows the user to zoom into the graphs and isolates elements in the graphs including hovering over the graph to reveal information. © 2020 IOP Publishing Ltd. All rights reserved. Institute of Physics Publishing 17426588 English Conference paper All Open Access; Gold Open Access |
author |
Hamidi S.R.; Lokman A.M.; Shuhidan S.M.; Hilmi M.I.M.N. |
spellingShingle |
Hamidi S.R.; Lokman A.M.; Shuhidan S.M.; Hilmi M.I.M.N. CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia |
author_facet |
Hamidi S.R.; Lokman A.M.; Shuhidan S.M.; Hilmi M.I.M.N. |
author_sort |
Hamidi S.R.; Lokman A.M.; Shuhidan S.M.; Hilmi M.I.M.N. |
title |
CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia |
title_short |
CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia |
title_full |
CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia |
title_fullStr |
CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia |
title_full_unstemmed |
CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia |
title_sort |
CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia |
publishDate |
2020 |
container_title |
Journal of Physics: Conference Series |
container_volume |
1529 |
container_issue |
2 |
doi_str_mv |
10.1088/1742-6596/1529/2/022019 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087936679&doi=10.1088%2f1742-6596%2f1529%2f2%2f022019&partnerID=40&md5=bf689c6deeacc05e2610f00bc81bd483 |
description |
One of the most famous diseases to ever roam across the globe is cancer. There are many types of cancer but the most common sites are breast, trachea, bronchus, lung, and colon cancer. Cancer can also be found pretty much in every country on earth and our country, Malaysia is not to be missed. The number of mortality in Malaysia for cancer is one of the highest and steps can be taken to help reduce the mortality rate. CancerMAS is a web-based dashboard that visualizes cancer incidence in Malaysia using cancer data that can assist cancer researchers to conduct their studies. The dashboard displays visualizations on ten of the highest cancer sites in Malaysia for male and female along with age-groups. The dashboard also presents visualizations of all cancer sites by gender and ethnic as well as the incidence by states in Malaysia. All of the visualizations are in the form of graphs. The dashboard allows the user to zoom into the graphs and isolates elements in the graphs including hovering over the graph to reveal information. © 2020 IOP Publishing Ltd. All rights reserved. |
publisher |
Institute of Physics Publishing |
issn |
17426588 |
language |
English |
format |
Conference paper |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809678482047762432 |