A Systematic Literature Review on Machine Learning Techniques for Skin Disease Classification
Skin diseases are health problems that require accurate diagnosis to evaluation and ultimately leading to treatment decisions. One of the crucial roles in the diagnostic process is medical imaging. Machine learning technology can assist in classifying skin diseases using image data and achieving hig...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Dian Nuswantoro
2025-05-01
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| Series: | Techno.Com |
| Online Access: | https://publikasi.dinus.ac.id/index.php/technoc/article/view/12696 |
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| _version_ | 1850232542868799488 |
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| author | Fadilah Karamun Nisaa Nadiyah Nayla Nur Alifah Sri Nurdiati Elis Khatizah Mohamad Khoirun Najib |
| author_facet | Fadilah Karamun Nisaa Nadiyah Nayla Nur Alifah Sri Nurdiati Elis Khatizah Mohamad Khoirun Najib |
| author_sort | Fadilah Karamun Nisaa Nadiyah |
| collection | DOAJ |
| description | Skin diseases are health problems that require accurate diagnosis to evaluation and ultimately leading to treatment decisions. One of the crucial roles in the diagnostic process is medical imaging. Machine learning technology can assist in classifying skin diseases using image data and achieving high levels of accuracy in diagnosis. The purpose of this research is to review machine learning algorithms that can be utilized to develop image-based skin disease classification systems. The methodology employed is a Systematic Literature Review (SLR), which can be used to provide a comprehensive review of the application of machine learning in the classification of skin diseases. The literature search strategy was based on the Boolean technique, applied to the Scopus database. The selected articles were screened using predefined inclusion and exclusion criteria. The results indicate that the most used machine learning algorithm with achieved the highest classification accuracy is the Convolutional Neural Network (CNN).
Keywords - Skin Disease, Machine Learning, Classification, CNN. |
| format | Article |
| id | doaj-art-e14b6a6b147641bba39ad6e666d70f79 |
| institution | OA Journals |
| issn | 2356-2579 |
| language | Indonesian |
| publishDate | 2025-05-01 |
| publisher | Universitas Dian Nuswantoro |
| record_format | Article |
| series | Techno.Com |
| spelling | doaj-art-e14b6a6b147641bba39ad6e666d70f792025-08-20T02:03:08ZindUniversitas Dian NuswantoroTechno.Com2356-25792025-05-0124245346610.62411/tc.v24i2.1269618203A Systematic Literature Review on Machine Learning Techniques for Skin Disease ClassificationFadilah Karamun Nisaa Nadiyah0Nayla Nur Alifah1Sri Nurdiati2Elis Khatizah3Mohamad Khoirun Najib4IPB UniversityIPB UniversityIPB UniversityIPB UniversityIPB UniversitySkin diseases are health problems that require accurate diagnosis to evaluation and ultimately leading to treatment decisions. One of the crucial roles in the diagnostic process is medical imaging. Machine learning technology can assist in classifying skin diseases using image data and achieving high levels of accuracy in diagnosis. The purpose of this research is to review machine learning algorithms that can be utilized to develop image-based skin disease classification systems. The methodology employed is a Systematic Literature Review (SLR), which can be used to provide a comprehensive review of the application of machine learning in the classification of skin diseases. The literature search strategy was based on the Boolean technique, applied to the Scopus database. The selected articles were screened using predefined inclusion and exclusion criteria. The results indicate that the most used machine learning algorithm with achieved the highest classification accuracy is the Convolutional Neural Network (CNN). Keywords - Skin Disease, Machine Learning, Classification, CNN.https://publikasi.dinus.ac.id/index.php/technoc/article/view/12696 |
| spellingShingle | Fadilah Karamun Nisaa Nadiyah Nayla Nur Alifah Sri Nurdiati Elis Khatizah Mohamad Khoirun Najib A Systematic Literature Review on Machine Learning Techniques for Skin Disease Classification Techno.Com |
| title | A Systematic Literature Review on Machine Learning Techniques for Skin Disease Classification |
| title_full | A Systematic Literature Review on Machine Learning Techniques for Skin Disease Classification |
| title_fullStr | A Systematic Literature Review on Machine Learning Techniques for Skin Disease Classification |
| title_full_unstemmed | A Systematic Literature Review on Machine Learning Techniques for Skin Disease Classification |
| title_short | A Systematic Literature Review on Machine Learning Techniques for Skin Disease Classification |
| title_sort | systematic literature review on machine learning techniques for skin disease classification |
| url | https://publikasi.dinus.ac.id/index.php/technoc/article/view/12696 |
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