Cervical cancer prevention and screening: the role of human papillomavirus testing

Aref‐Adib, Mehrnoosh; Freeman‐Wang, Theresa

doi:10.1111/tog.12279

Cited by 30 publications

(21 citation statements)

References 58 publications

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“…In this study, high dimensional classification problem was resolved by using decision tree methods because only those attributes were considered which showed highest relevance with the screening method (target class). The Hinslemann screening method showed high performance because Hinslemann is also traditional method of screening of cervical cancer which is effective [55][56][57]. The performance of biopsy screening method was slightly low from Hinslemann screening method.…”

Section: Resultsmentioning

confidence: 99%

Cervical Cancer Prediction through Different Screening Methods using Data Mining

Alam¹,

Milhan²,

Atif³

et al. 2019

ijacsa

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Cervical cancer remains an important reason of deaths worldwide because effective access to cervical screening methods is a big challenge. Data mining techniques including decision tree algorithms are used in biomedical research for predictive analysis. The imbalanced dataset was obtained from the dataset archive belongs to the University of California, Irvine. Synthetic Minority Oversampling Technique (SMOTE) has been used to balance the dataset in which the number of instances has increased. The dataset consists of patient age, number of pregnancies, contraceptives usage, smoking patterns and chronological records of sexually transmitted diseases (STDs). Microsoft azure machine learning tool was used for simulation of results. This paper mainly focuses on cervical cancer prediction through different screening methods using data mining techniques like Boosted decision tree, decision forest and decision jungle algorithms as well performance evaluation has done on the basis of AUROC (Area under Receiver operating characteristic) curve, accuracy, specificity and sensitivity. 10-fold cross-validation method was utilized to authenticate the results and Boosted decision tree has given the best results. Boosted decision tree provided very high prediction with 0.978 on AUROC curve while Hinslemann screening method has used. The results obtained by other classifiers were significantly worse than boosted decision tree.

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Section: Resultsmentioning

confidence: 99%

Cervical Cancer Prediction through Different Screening Methods using Data Mining

Alam¹,

Milhan²,

Atif³

et al. 2019

ijacsa

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“…[3] Serviks kanseri-HPV ilişkisi Serviks kanserinin oluşumu için, insan papilloma virüsü (HPV) varlığı gereklidir, ancak yeterli değildir. [4] Bugün, servikal kanser gelişimi için HPV'nin mutlaka var olması gerektiği, diğer risk faktörlerinin ya virüsle karşılaşma oranını arttırdığı ya da viral persistansın karsinojenik süreci hızlandırmada önemli olduğu konusu üzerinde durulmaktadır. [5] Cinsel yönden aktif erişkinlerin %70'inden fazlası, hayatlarının bir döneminde HPV'ye maruz kalmakta ve bunların da %70'inden fazlasının 15-24 yaş arasında olduğu bildirilmektedir.…”

Section: öZunclassified

“…[10] HPV ile enfekte olmayan kadınlarda servikste skuamöz hücreli karsinom gelişme riski düşük iken, enfekte olanlarda bu risk 250-400 kat artmaktadır. [4] Genellikle cinsel aktivite sırasında anal bölge epitelinde meydana gelen travma sonucu, HPV bazal hücre tabakalarına yerleşir. Bazal hücreler çoğalır ve çekirdek içinde virüs replikasyonu gerçekleşir.…”

Section: öZunclassified

Serviks kanseri ve HPV

Aydoğdu¹,

Özsoy²

2018

Androl Bul

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Tüm dünyada, yılda 400.000'in üzerinde serviks kanseri olgusu görülmekte ve her yıl yaklaşık 250.000 hasta serviks kanserinden ölmektedir. [1] Serviks kanseri, dünyada her iki dakikada bir kadın ölümüne neden olan ve kadınlarda meme kanserinden sonra en sık görülen ikinci kanserdir. Gelişmiş ülkelerde kadın kanserlerinin %3,6'sını, gelişmemiş ülkelerde ise %15'ini oluşturmaktadır. [2] En sık 50-59

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“…Human papillomavirus (HPV) infection is one of the STDs. It is classified as low-and high-risk infection respecting its neoplastic alterations (5,6). HPV infection is highly prevalent so that 20% of sexuallyactive adolescent girls are at risk for it (7,8).…”

Section: Introductionmentioning

confidence: 99%

The effects of an educational program based on the Theory of Reasoned Action on high-risk sexual behaviors among patients with human papillomavirus infection: a randomized controlled trial

Pourgholamamiji¹,

Shahsavari²,

Manookian³

et al. 2020

Preprint

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Background: Sexually transmitted diseases are a major health problem in all countries. Human papillomavirus (HPV) infection is the most common viral sexually transmitted disease in both genders. High-risk sexual behaviors (HRSBs) are among the major risk factors for HPV infection. Lack of knowledge can contribute to HRSBs and hence, education can potentially reduce HRSB risk. This study evaluated the effects of an educational program based on the Theory of Reasoned Action on HRSBs among patients with HPV. Methods: This two-group randomized controlled trial was conducted in 2017-2018. The educational program was developed based on the results of a survey into the most important components of the Theory of Reasoned Action contributing to HRSBs among 100 patients recruited from Razi hospital, Tehran, Iran. Then, 110 patients from the same hospital were consecutively recruited and randomly allocated to a control (n = 55) and an intervention (n = 55) group and all of them completed a demographic questionnaire and the Sexual Risk Scale. Then, each participant in the intervention group was provided with the developed educational program which consisted of two face-to-face educational sessions in the first and the thirtieth days of the intervention, an educational booklet, and biweekly follow-up telephone contacts. Their counterparts in the control group solely received routine care services. Three months after the first educational session, HRSBs were reassessed in both groups. Results: There were no significant between-group differences respecting participants’ baseline characteristics and mean score of HRSBs (P > 0.05). After the intervention, the mean score of HRSBs significantly decreased in the intervention group (P < 0.001) but did not significantly change in the control group (P = 0.70). The posttest mean score of HRSBs in the intervention group was significantly less than the control group (P = 0.015). Conclusion: Education based on the Theory of Reasoned Action is effective in significantly reducing HRSBs among patients with HPV infection. Nurses can develop and use educational interventions based on this theory to reduce HRSBs and HPV infection. Trial registration: IRCT2016121831453N1 (8 Oct 2017) Keywords: Theory of Reasoned Action, High-risk sexual behaviors, Human papillomavirus

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Cervical cancer prevention and screening: the role of human papillomavirus testing

Cited by 30 publications

References 58 publications

Cervical Cancer Prediction through Different Screening Methods using Data Mining

Cervical Cancer Prediction through Different Screening Methods using Data Mining

Serviks kanseri ve HPV

The effects of an educational program based on the Theory of Reasoned Action on high-risk sexual behaviors among patients with human papillomavirus infection: a randomized controlled trial

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