The Effect of Women’s Social Support and Self-Efficacy Perceptions on Early Diagnosis Behaviors of Breast Cancer

Çidem, Fadile; Ersin, Fatma

doi:10.5222/head.2019.183

Cited by 2 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A breast cancer diagnosis is just as critical as other forms of cancer in terms of early detection. Although breast cancer is common, it is slow-growing cancer that can be detected early and treated successfully, lowering the mortality rate [5]. When looking at 5-year survival rates in our country, female cancer patients diagnosed in the early stages have a 90.0 percent survival rate [6].…”

Section: Introductionmentioning

confidence: 99%

Performance comparison of Extreme Learning Machines and other machine learning methods on WBCD data set

Keskin

Durdu

Aslan

et al. 2021

2021 29th Signal Processing and Communications Applications Conference (SIU)

View full text Add to dashboard Cite

Breast cancer is one of the most common forms of cancer among women in our country and the world. Artificial intelligence studies are growing in order to reduce the mortality and early diagnosis needed for appropriate treatment. The Excessive Learning Machines (ELM) method, one of the machine learning approaches, is applied to the Wisconsin Breast Cancer Diagnostic (WBCD) dataset in this study, and the findings are compared to those of other machine learning methods. For this purpose, the same dataset is also classified using Multi-Layer Perceptron (MLP), Sequential Minimum Optimization (SMO), Decision Tree Learning (J48), Naive Bayes (NB), and K-Nearest Neighbor (KNN) methods. According to the results of the study, the ELM approach is more successful than other approaches on the WBCD dataset. It's also worth noting that as the number of neurons in the ELM grows, so does the learning ability of the network. However, after a certain number of neurons have passed, test performance begins to decline sharply. Finally, the ELM's performance is compared to the results of other studies in the literature.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance comparison of Extreme Learning Machines and other machine learning methods on WBCD data set

Keskin

Durdu

Aslan

et al. 2021

2021 29th Signal Processing and Communications Applications Conference (SIU)

View full text Add to dashboard Cite

show abstract

Effect of women’s health literacy levels on their beliefs about breast cancer screening

Şipal

Türkoğlu

2022

J CLIN MED KAZ

View full text Add to dashboard Cite

Objective: This study was conducted to examine the effect of women's health literacy level on breast cancer screening beliefs. Material and methods: This study has been done descriptively. In data collection, measurement tools such as 'Descriptive Information Form', 'Health Literacy Scale' and 'Breast Cancer Screening Beliefs Scale' developed based on literature and observations were used. Statistical analysis of the data was made in SPSS 20.0 statistical package program. Results: When the descriptive-variable characteristics of the women participating in the study were examined, it was determined that the difference between health literacy levels and breast cancer screening beliefs was significant (p<0.05). Conclusion: As a result of the research, it was determined that as the health literacy level of women increased, the level of breast cancer screening beliefs also increased.

show abstract

The Effect of Women’s Social Support and Self-Efficacy Perceptions on Early Diagnosis Behaviors of Breast Cancer

Abstract: Aim: This descriptive study was conducted for the purpose of determining women's social support and self-efficacy perceptions and the effect of these perceptions on the early diagnosis behaviors of breast cancer.

Cited by 2 publications

References 21 publications

Performance comparison of Extreme Learning Machines and other machine learning methods on WBCD data set

Performance comparison of Extreme Learning Machines and other machine learning methods on WBCD data set

Effect of women’s health literacy levels on their beliefs about breast cancer screening

Contact Info

Product

Resources

About