| Title: | OS26-5 Geographic and Risk Factor Analysis of Non-Communicable Cardiovascular Diseases in Central Java using Machine Learning |
|---|---|
| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 741-744 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.OS26-5 |
| Author(s): | Aqil Hafizzan Nurhasanah, Andi Prademon Yunus |
| Publication Date: | February 13, 2025 |
| Keywords: | Non-Communicable Diseases, Cardiovascular Diseases, Classification and Regression Tree, Central Java, Risk Factors, Geographic Distribution |
| Abstract: | Non-communicable diseases (NCDs), especially cardiovascular disease, are a major health problem in Indonesia with a global mortality rate of 17.9 million per year. In Central Java, hypertension cases will reach 8.5 million patients by 2023. This study uses the CART (Classification and Regression Tree) method and geographic mapping with Python to identify cardiovascular disease risk factors. Results showed alcohol stores as the dominant risk factor (54.3%), followed by sweet drinks (25.7%) and smokers (17.1%). The mapping identified the distribution of alcohol stores in 19 regions as a major factor in Central Java, Indonesia. |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS26/OS26-5.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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