Classification of treatment tuberculosis history based on machine learning techniques
An important step in data Tuberculosis analysis is data exploration and representation. Tuberculosis treatment is crucial to protect the patients and it can lead to death in untreated in countries with low income. In this case, we use the machine learning technique by using Decision Tree and Random...
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Published in | IOP conference series. Materials Science and Engineering Vol. 725; no. 1; pp. 12102 - 12106 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.01.2020
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Subjects | |
Online Access | Get full text |
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Summary: | An important step in data Tuberculosis analysis is data exploration and representation. Tuberculosis treatment is crucial to protect the patients and it can lead to death in untreated in countries with low income. In this case, we use the machine learning technique by using Decision Tree and Random Forest for classification the tuberculosis to analysis and represented based on the treatment history. We use Tuberculosis dataset which employed from Province Aceh, Indonesia. The result indicated the performance of the designed arrangement was successful and could be used in Tuberculosis treatment analysis based on the histories in Aceh Utara and Lhoksumawe. |
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ISSN: | 1757-8981 1757-899X |
DOI: | 10.1088/1757-899X/725/1/012102 |