Comparison of Naive Bayes Method and Certainty Factor for Diagnosis of Preeclampsia
Preeclampsia is a disease often suffered by pregnant women caused by several factors such as a history of heredity, blood pressure, urine protein, and diabetes. The data sample used in this study is data on pregnant women in the 2020 time period recorded at health services in the former Cilacap Rege...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Udayana University, Institute for Research and Community Services
2022-08-01
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| Series: | Lontar Komputer |
| Online Access: | https://ojs.unud.ac.id/index.php/lontar/article/view/82863 |
| _version_ | 1811248248904482816 |
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| author | Linda Perdana Wanti Nur Wachid Adi Prasetya Laura Sari Lina Puspitasari Annisa Romadloni |
| author_facet | Linda Perdana Wanti Nur Wachid Adi Prasetya Laura Sari Lina Puspitasari Annisa Romadloni |
| author_sort | Linda Perdana Wanti |
| collection | DOAJ |
| description | Preeclampsia is a disease often suffered by pregnant women caused by several factors such as a history of heredity, blood pressure, urine protein, and diabetes. The data sample used in this study is data on pregnant women in the 2020 time period recorded at health services in the former Cilacap Regency. This study was conducted to compare the final results of the Naive Bayes method and the certainty factor method in providing the results of a diagnosis of preeclampsia seen from the symptoms experienced by these pregnant women. The naïve Bayes approach provides decisions by managing statistical data and probabilities taken from the prediction of the likelihood of a pregnant woman showing symptoms of preeclampsia. Symptoms of preeclampsia, while the certainty factor method determines the certainty value of the diagnosis of preeclampsia in pregnant women based on the calculation of the CF value. The research output compares the two methods, showing that the certainty factor method provides more accurate diagnostic results than the Naive Bayes method. It happens because the CF method requires a minimum value of 0.2 and a maximum of 1 for each rule on the factors/symptoms involved, while the Naive Bayes method only requires values of 0 and 1 for each factor causing preeclampsia in pregnant women. |
| first_indexed | 2024-04-12T15:24:41Z |
| format | Article |
| id | doaj.art-356224b2cce04162b933d8bb033c9785 |
| institution | Directory Open Access Journal |
| issn | 2088-1541 2541-5832 |
| language | English |
| last_indexed | 2024-04-12T15:24:41Z |
| publishDate | 2022-08-01 |
| publisher | Udayana University, Institute for Research and Community Services |
| record_format | Article |
| series | Lontar Komputer |
| spelling | doaj.art-356224b2cce04162b933d8bb033c97852022-12-22T03:27:18ZengUdayana University, Institute for Research and Community ServicesLontar Komputer2088-15412541-58322022-08-0113210511610.24843/LKJITI.2022.v13.i02.p0482863Comparison of Naive Bayes Method and Certainty Factor for Diagnosis of PreeclampsiaLinda Perdana Wanti0Nur Wachid Adi Prasetya1Laura Sari2Lina Puspitasari3Annisa Romadloni4Politeknik Negeri CilacapDepartment of Informatics, Politeknik Negeri CilacapDepartment of Informatics, Politeknik Negeri CilacapDepartment of Midwifery, STIKES Graha Mandiri CilacapDepartment of Informatics, Politeknik Negeri CilacapPreeclampsia is a disease often suffered by pregnant women caused by several factors such as a history of heredity, blood pressure, urine protein, and diabetes. The data sample used in this study is data on pregnant women in the 2020 time period recorded at health services in the former Cilacap Regency. This study was conducted to compare the final results of the Naive Bayes method and the certainty factor method in providing the results of a diagnosis of preeclampsia seen from the symptoms experienced by these pregnant women. The naïve Bayes approach provides decisions by managing statistical data and probabilities taken from the prediction of the likelihood of a pregnant woman showing symptoms of preeclampsia. Symptoms of preeclampsia, while the certainty factor method determines the certainty value of the diagnosis of preeclampsia in pregnant women based on the calculation of the CF value. The research output compares the two methods, showing that the certainty factor method provides more accurate diagnostic results than the Naive Bayes method. It happens because the CF method requires a minimum value of 0.2 and a maximum of 1 for each rule on the factors/symptoms involved, while the Naive Bayes method only requires values of 0 and 1 for each factor causing preeclampsia in pregnant women.https://ojs.unud.ac.id/index.php/lontar/article/view/82863 |
| spellingShingle | Linda Perdana Wanti Nur Wachid Adi Prasetya Laura Sari Lina Puspitasari Annisa Romadloni Comparison of Naive Bayes Method and Certainty Factor for Diagnosis of Preeclampsia Lontar Komputer |
| title | Comparison of Naive Bayes Method and Certainty Factor for Diagnosis of Preeclampsia |
| title_full | Comparison of Naive Bayes Method and Certainty Factor for Diagnosis of Preeclampsia |
| title_fullStr | Comparison of Naive Bayes Method and Certainty Factor for Diagnosis of Preeclampsia |
| title_full_unstemmed | Comparison of Naive Bayes Method and Certainty Factor for Diagnosis of Preeclampsia |
| title_short | Comparison of Naive Bayes Method and Certainty Factor for Diagnosis of Preeclampsia |
| title_sort | comparison of naive bayes method and certainty factor for diagnosis of preeclampsia |
| url | https://ojs.unud.ac.id/index.php/lontar/article/view/82863 |
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