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All Journal Urecol Journal. Part E: Engineering
Agung Prihandono
Universitas Muhammadiyah Kudus, Indonesia
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Application of the C4.5 Algorithm for Early Cervical Cancer Classification Taftazani Ghazi Pratama; Achmad Ridwan; Agung Prihandono
Urecol Journal. Part E: Engineering Vol. 1 No. 1 (2021): January - June
Publisher : Konsorsium LPPM Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (184.127 KB) | DOI: 10.53017/uje.4

Abstract

Cervical cancer is one of the cancers that is of global concern because of the high mortality rate in women. Preventive measures such as early detection are needed so that patients can get treatment more quickly. Fortunately, this disease can be prevented with the role of technology to help doctors in early detection of various types of cancer. The technology developed by the researchers is using machine learning algorithms. Therefore, in this study using the C4.5 algorithm to classify cervical cancer. This algorithm aims to classify 2 classes: people who have cervical cancer, people who are healthy. The results of the experiment obtained from the C4.5 algorithm are getting an accuracy of 98.61%, precision of 98.08%, and recall of 95.24% ROC curve shows 0.982%.
Application of the C4.5 Algorithm for Early Cervical Cancer Classification Taftazani Ghazi Pratama; Achmad Ridwan; Agung Prihandono
Urecol Journal. Part E: Engineering Vol. 1 No. 1 (2021): January - June
Publisher : Konsorsium LPPM Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53017/uje.4

Abstract

Cervical cancer is one of the cancers that is of global concern because of the high mortality rate in women. Preventive measures such as early detection are needed so that patients can get treatment more quickly. Fortunately, this disease can be prevented with the role of technology to help doctors in early detection of various types of cancer. The technology developed by the researchers is using machine learning algorithms. Therefore, in this study using the C4.5 algorithm to classify cervical cancer. This algorithm aims to classify 2 classes: people who have cervical cancer, people who are healthy. The results of the experiment obtained from the C4.5 algorithm are getting an accuracy of 98.61%, precision of 98.08%, and recall of 95.24% ROC curve shows 0.982%.
Co-Authors Achmad Ridwan Taftazani Ghazi Pratama