Early Detection of Breast Cancer in Women Using a Cost-effective Procedure

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Kord Tamandani Yahya

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Epigenetics Year:2020 | Volume:2 | Issue:1 Page(s): 1-7

Download Full-Text

Persian Verion

View:

331

Download:

173

Cites:

Information Journal Paper

Title

Early Detection of Breast Cancer in Women Using a Cost-effective Procedure

Author(s)

Kord Tamandani Yahya | Issue Writer Certificate

Keywords

Breast cancer

Prediction model

Anthropometric data

SVM

K-NN

Abstract

Breast cancer is considered to be the second most common type of cancer affecting the female population worldwide. It is estimated that more than 508 000 women died in 2011 as a result of Breast cancer. The survival rates of Breast cancer are lower in less developed countries mainly due to the absence of early detection methods resulting in a great percentage of women showing with late-stage disease. Early detection and medical diagnosis are known to be the most effective solution to minimize the risk of tumor development and progression. There are different methods for Early detection of Breast cancer which include screening tests and clinical breast exams performed by a well-trained health professional. Due to a lack of facilities and cost, many women in less developed countries may not be able to use the mentioned methods. The objective associated with this research was to achieve an affordable and cost-effective Prediction model of Breast cancer based on Anthropometric data and parameters that can easily be collected in a routine and regular blood test. For every one of the 166 individuals number of clinical features such as age, Body Mass Index (MBI), serum glucose levels, plasma levels of insulin, etc. were measured and observed. Various learning algorithms including Support Vector Machines (SVM), K-Nearest Neighbors (K-NN) and logistic regression(LR), etc. have been applied and compared with one another. The result shows that SVM and K-NN models perform well and allow prediction of Breast cancer in women with accuracy more than 78%, the sensitivity of 78% and 79%, and Specificity value is 77% and 79% respectively.

Cites

No record.

References

No record.

Cite

APA: Copy

Kord Tamandani, Yahya. (2020). Early Detection of Breast Cancer in Women Using a Cost-effective Procedure. JOURNAL OF EPIGENETICS, 2(1 ), 1-7. SID. https://sid.ir/paper/405480/en

Vancouver: Copy

Kord Tamandani Yahya. Early Detection of Breast Cancer in Women Using a Cost-effective Procedure. JOURNAL OF EPIGENETICS[Internet]. 2020;2(1 ):1-7. Available from: https://sid.ir/paper/405480/en

IEEE: Copy

Yahya Kord Tamandani, “Early Detection of Breast Cancer in Women Using a Cost-effective Procedure,” JOURNAL OF EPIGENETICS, vol. 2, no. 1 , pp. 1–7, 2020, [Online]. Available: https://sid.ir/paper/405480/en

Related Journal Papers