TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

Powered by:Powered by

Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
submissions@tarupublications.com
Open Access Research Article

Breast cancer prediction using supervised machine learning techniques

* , , , , ,

* Corresponding author · click or hover a name for details

pp. 383–392Vol. 44Issue 3April 2023DOI: 10.47974/JIOS-1348XML
Published Online:
11 Aug 2023
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1348
Pages:
383–392

Abstract

Breast cancer is one of the most prevalent diseases in India’s urban regions and the second most common in the country’s rural parts. In India, a woman is diagnosed with breast cancer growth every four minutes, and a woman dies from breast cancer sickness every thirteen minutes. Over half of breast cancer patients in India are diagnosed with stage 3 or 4 illness, which has extremely low survival rates; hence, an urgent need exists for a rapid detection strategy. To forecast if a patient is at risk for breast cancer, we utilise the classification techniques of machine learning, in which the machine learning model learns from the previous information and can anticipate on the new information that is generated by the data. To create a model using Logistic Regression, Support Vector Machines, and Random Forests, this dataset was collected from the UCI repository and studied in this study. The primary goal is to improve the accuracy, precision, and sensitivity of all the algorithms that are used to categorise data in terms of the competency and viability of each and every algorithm. Random Forest has been shown to be the most accurate in classifying breast cancer, with a precision of 98.60 percent in tests. The Scientific Python Development Environment is used to carry out this machine learning study, which is written in the python programming language. 

Keywords

Subject Classifications

Primary 93A30Secondary 49K15

References

[1] Ch. Shravya, K. Pravalika, ShaikSubhani,” Prediction of Breast Cancer Using Supervised Machine Learning Techniques”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-8 Issue-6 (April 2019).
[2] Hiba Asria*,Hajar Mousannifb, Hassan Al Moatassimec, Thomas Noeld,” Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis”, Procedia Computer Science, Vol- 83, PP- 1064 –1069 (Year-2016). 
[3] Haifeng Wang and Sang Won Yoon – “Breast Cancer Prediction using Data Mining Method”, IEEE Conference Proceedings of the 2015 Industrial and Systems Engineering Research Conference (2015). 
[4] B.M.Gayathri, C.P.Sumathi, T.Santhanam,” Breast Cancer Diagnosis Using Machine Learning Algorithms– A Survey”, International Journal of Distributed and Parallel Systems (IJDPS) Vol. 4, No. 3 (May 2013). 
[5] T.L. Octaviani and Z. Rustam, “Random Forest for Breast Cancer Prediction”, Proceedings of the 4th International Symposium on Current Progress in Mathematics and Sciences (ISCPMS2018) (Year-2018), AIP Conf. Proc. 20168, 020050-1-0200050-6. 
[6] “Classification Algorithms- Random Forest”, Available at https://www.tutorialspoint.com2/machine_learning_with_python/machine_learning_with_python_cl assification_algorithms_random_forest.htm .
[7] “Breast  Cancer Detection Using Machine Learning”, Available at- https://medium.com/@randerson112358/breast-cancer-detection-using-machine-learning38820fe98982. 
[8] “Building a Simple Machine Learning Model on Breast Cancer Data”, Available at-https://towardsdatascience.com/building-a-simple-machine-learning-model-on-breast-cancer-dataeca4b3b99fa3. 
[9] Aurelien Geron, “Hands-On Machine learning with Scikit-Learn &TensorFlow”, O’REILLY Media (Year-2018). 
[10] “Support Vector Machine Algorithm”, Available at- https://www.javatpoint.com/machine-learningsupport-vector-machine-algorithm.

Views: 357Downloads: 104Citations: 1