Analysis of Hepatitis C Virus using Data mining algorithm -Apriori, Decision tree
| Main Authors: | Ha YeongJeong and Tae Seon Yoon, Yongin, Gyeonggi, |
|---|---|
| Format: | Article eJournal |
| Bahasa: | ang |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3994085 |
Daftar Isi:
- Hepatitis C, which presents with symptoms such as acute fatigue and jaundice, is highly likely to become chronic, and is the main cause of liver cancer, attracting much public attention. Moreover, the number of infected people is increasing worldwide nowadays. However, we found that there are 6 different genotype in hcv. In vaccine and medicine developing for viruses, analysis of them is most important. Therefore, we decided to compare 6 genotype using Apriori algorithm and Decision tree algorithm. We tried to find out some difference between genotype 1 and others by analyzing the genotype 1, since genotype 1 is most common, and tried to find out the correlation between the genotype 1b and 2a with the highest number of infections in Korea. With these algorithm, we were able to find several rules and differences between them.