Deteksi Penyakit Dengue Hemorrhagic Fever dengan Pendekatan One Class Classification
Two class classification problem maps input into two target classes. In certain cases, training data is available only in the form of a single class, as in the case of Dengue Hemorrhagic Fever (DHF) patients, where only data of positive patients is available. In this paper, we report our experiment...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Airlangga
2017-10-01
|
| Series: | Journal of Information Systems Engineering and Business Intelligence |
| Subjects: | |
| Online Access: | https://e-journal.unair.ac.id/index.php/JISEBI/article/view/5675 |
| _version_ | 1827852421531959296 |
|---|---|
| author | Zida Ziyan Azkiya Fatma Indriani Heru Kartika Chandra |
| author_facet | Zida Ziyan Azkiya Fatma Indriani Heru Kartika Chandra |
| author_sort | Zida Ziyan Azkiya |
| collection | DOAJ |
| description | Two class classification problem maps input into two target classes. In certain cases, training data is available only in the form of a single class, as in the case of Dengue Hemorrhagic Fever (DHF) patients, where only data of positive patients is available. In this paper, we report our experiment in building a classification model for detecting DHF infection using One Class Classification (OCC) approach. Data from this study is sourced from laboratory tests of patients with dengue fever. The OCC methods compared are One-Class Support Vector Machine and One-Class K-Means. The result shows SVM method obtained precision value = 1.0, recall = 0.993, f-1 score = 0.997, and accuracy of 99.7% while the K-Means method obtained precision value = 0.901, recall = 0.973, f- 1 score = 0.936, and accuracy of 93.3%. This indicates that the SVM method is slightly superior to K-Means for One-Class Classification of DHF patients. |
| first_indexed | 2024-03-12T10:50:01Z |
| format | Article |
| id | doaj.art-e2fd8f896e9d4e2bb32c4932c0bac0fb |
| institution | Directory Open Access Journal |
| issn | 2443-2555 |
| language | English |
| last_indexed | 2024-03-12T10:50:01Z |
| publishDate | 2017-10-01 |
| publisher | Universitas Airlangga |
| record_format | Article |
| series | Journal of Information Systems Engineering and Business Intelligence |
| spelling | doaj.art-e2fd8f896e9d4e2bb32c4932c0bac0fb2023-09-02T07:09:50ZengUniversitas AirlanggaJournal of Information Systems Engineering and Business Intelligence2443-25552017-10-0132129133Deteksi Penyakit Dengue Hemorrhagic Fever dengan Pendekatan One Class ClassificationZida Ziyan Azkiya0Fatma Indriani1Heru Kartika Chandra2Universitas Lambung MangkuratUniversitas Lambung MangkuratPoliteknik Negeri BanjarmasinTwo class classification problem maps input into two target classes. In certain cases, training data is available only in the form of a single class, as in the case of Dengue Hemorrhagic Fever (DHF) patients, where only data of positive patients is available. In this paper, we report our experiment in building a classification model for detecting DHF infection using One Class Classification (OCC) approach. Data from this study is sourced from laboratory tests of patients with dengue fever. The OCC methods compared are One-Class Support Vector Machine and One-Class K-Means. The result shows SVM method obtained precision value = 1.0, recall = 0.993, f-1 score = 0.997, and accuracy of 99.7% while the K-Means method obtained precision value = 0.901, recall = 0.973, f- 1 score = 0.936, and accuracy of 93.3%. This indicates that the SVM method is slightly superior to K-Means for One-Class Classification of DHF patients.https://e-journal.unair.ac.id/index.php/JISEBI/article/view/5675Dengue Hemorrhagic FeverK-MeansOne Class ClassificationOSVM |
| spellingShingle | Zida Ziyan Azkiya Fatma Indriani Heru Kartika Chandra Deteksi Penyakit Dengue Hemorrhagic Fever dengan Pendekatan One Class Classification Journal of Information Systems Engineering and Business Intelligence Dengue Hemorrhagic Fever K-Means One Class Classification OSVM |
| title | Deteksi Penyakit Dengue Hemorrhagic Fever dengan Pendekatan One Class Classification |
| title_full | Deteksi Penyakit Dengue Hemorrhagic Fever dengan Pendekatan One Class Classification |
| title_fullStr | Deteksi Penyakit Dengue Hemorrhagic Fever dengan Pendekatan One Class Classification |
| title_full_unstemmed | Deteksi Penyakit Dengue Hemorrhagic Fever dengan Pendekatan One Class Classification |
| title_short | Deteksi Penyakit Dengue Hemorrhagic Fever dengan Pendekatan One Class Classification |
| title_sort | deteksi penyakit dengue hemorrhagic fever dengan pendekatan one class classification |
| topic | Dengue Hemorrhagic Fever K-Means One Class Classification OSVM |
| url | https://e-journal.unair.ac.id/index.php/JISEBI/article/view/5675 |
| work_keys_str_mv | AT zidaziyanazkiya deteksipenyakitdenguehemorrhagicfeverdenganpendekatanoneclassclassification AT fatmaindriani deteksipenyakitdenguehemorrhagicfeverdenganpendekatanoneclassclassification AT herukartikachandra deteksipenyakitdenguehemorrhagicfeverdenganpendekatanoneclassclassification |