Analysis of High-Risk Human Papillomavirus Using Decision Tree and Apriori Algorithm

被引：2

作者：

Lee, Da Eun ^{[1
]}

Yoon, Taeseon ^{[2
]}

机构：

[1] Hankuk Acad Foreign Studies, Dept Int Course, 50 54 Beon Gil, Yongin, Gyeonggido, South Korea

[2] Korea Univ, Dept Comp Sci & Engn, 50 54 Beon Gil, Yongin, Gyeonggido, South Korea

来源：

ICCBB 2018: PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS | 2018年

关键词：

Human papillomavirus; HPV; Cervical cancer; Decision tree; Apriori; Datamining;

D O I：

10.1145/3290818.3290830

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Human Papillomaviruses (HPV) are small, nonenveloped, double-stranded DNA and function as pathogens that infect epithelial surfaces of humans and animals. Undetected and left not treated, HPV can develop into cervical cancer. This study aims to distinguish different types of high-risk HPV by analyzing the DNA sequences. With Decision Tree and Apriori Algorithm, the study analyzes both common and distinctive features of HPV Type 16, 18, and 58. We concluded that with the method to distinguish different HPV types, more type-specific vaccines and treatments can be developed to treat cancers that are caused by HPV, including, but not limited to, cervical cancer and oral cancer.

引用

页码：22 / 26

页数：5

共 50 条

[1] Analysis of Human Papillomavirus Using Datamining - Apriori, Decision Tree, and Support Vector Machine (SVM) and its Application Field
Cho, Younghoon
Burm, Seungwon
Choi, Nayoung
Yoon, Taeseon
2016 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2016), 2016, 56
[2] Analysis of Transmission Route of MERS Coronavirus Using Decision Tree and Apriori Algorithm
Kim, Donghyun
Hong, Soyoung
Choi, Sungwoo
Yoon, Taeseon
2016 18TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATIONS TECHNOLOGY (ICACT) - INFORMATION AND COMMUNICATIONS FOR SAFE AND SECURE LIFE, 2016, : 559 - 565
[3] The prevalence of high-risk human papillomavirus
Tsubokura, Masaharu
Komatsu, Tsunehiko
Kami, Masahiro
ANNALS OF INTERNAL MEDICINE, 2008, 149 (04) : 283 - 283
[4] High-risk human papillomavirus in nasopharyngeal carcinoma
Singhi, Aatur D.
Califano, Joseph
Westra, William H.
HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK, 2012, 34 (02): : 213 - 218
[5] High-risk Human Papillomavirus in a screening population
Schledermann, D. E.
Rasmussen, M.
Mose, L.
APMIS, 2011, 119 : 18 - 19
[6] Analysis of Anti-cancer Cytokines by Apriori Algorithm, Decision Tree, and SVM
Cho, Yoohyeon
Ahn, Yeahji
Yoon, Subin
Kwon, Jinwon
Yoon, Taeseon
2015 INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP), 2015, : 232 - 237
[7] Detection of high-risk human papillomavirus using menstrual blood in women with high-grade squamous intraepithelial lesions or high-risk human papillomavirus infections: A pilot study
Lee, Banghyun
Cho, Hye-Yon
Jeon, Kum Jin
Kim, Kidong
Lee, Jung Ryeol
Moon, Jung Joo
No, Jae Hong
Kim, Yong-Beom
JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH, 2016, 42 (03) : 319 - 324
[8] Immediate histopathologic correlation in Turkish population with negative cytology and high-risk human papillomavirus positivity: A retrospective analysis of high-risk human papillomavirus genotype and stratified by age
Kir, Gozde
Gunel, Humeyra
Cicek, Tuba
Seneldir, Hatice
DIAGNOSTIC CYTOPATHOLOGY, 2023, 51 (10) : 605 - 611
[9] Deeper understanding of Flaviviruses including Zika virus by using Apriori Algorithm and Decision Tree
Yang, Youjin
Gu, Bokyung
Yoon, Taeseon
2016 5TH INTERNATIONAL CONFERENCE ON CHEMICAL AND PROCESS ENGINEERING (ICCPE 2016), 2016, 69
[10] Awareness of human papillomavirus and reported human papillomavirus vaccine uptake in a high-risk population
Amboree, Trisha L.
Montealegre, Jane R.
Wermuth, Paige Padgett
Mgbere, Osaro
Fujimoto, Kayo
Darkoh, Charles
PREVENTIVE MEDICINE REPORTS, 2022, 28

← 1 2 3 4 5 →