# A Linear Discriminant Analysis and Classification Model for Breast Cancer Diagnosis
## 5 Conclusions
(2021)_ [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Exploring the Machine Learning Algorithms to Find the Best Features for Predicting the Breast Cancer and Its Recurrence. In Proceedings of the International Conference on Intelligent Computing & Optimization, Hua Hin, Thailand, 30-31 December 2021; pp. 546-558. * _[PERSON] et al. (2016)_ [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis. _Procedia Comput. Sci._**2016**, _83_, 1064-1069. [CrossRef]
* _[PERSON] and [PERSON] (2016)_ [PERSON]; [PERSON] Comparative Study of Machine Learning Algorithms for Breast Cancer Detection and Diagnosis. In Proceedings of the 2016 5 th International Conference on Electronic Devices, Systems and Applications (ICEDSA), Ras Al Khaimah, United Arab Emirates, 6-8 December 2016; IEEE: Manhattan, NY, USA, 2016; pp. 1-4. * _[PERSON] (2018)_ [PERSON]. On Breast Cancer Detection. In Proceedings of the 2 nd International Conference on Machine Learning and Soft Computing--ICMLSC '18, Phu Quoc Island, Vietnam, 2-4 February 2018; ACM Press: New York, NY, USA, 2018; pp. 5-9. * _[PERSON] et al. (2018)_ [PERSON]; [PERSON]; [PERSON] Breast Cancer Detection Using Machine Learning Algorithms. In Proceedings of the 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS), Belgaum, India, 21-22 December 2018; IEEE: Manhattan, NY, USA, 2018; pp. 114-118. * _[PERSON] et al. (2018)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Diagnostic Accuracy of Different Machine Learning Algorithms for Breast Cancer Risk Calculation: A Meta-Analysis. _Asian Pac. J. Cancer Prev._**2018**, _19_, 1747-1752. [CrossRef]
* _[PERSON] and [PERSON] (2015)_ [PERSON]; [PERSON] [PERSON] Hybrid Feature Selection Based Weighted Least Squares Twin Support Vector Machine Approach for Diagnosing Breast Cancer, Hepatitis, and Diabetes. _Adv. Artif. Neural Syst._**2015**, _2015_, 265637. [CrossRef]
* _[PERSON] and [PERSON] (2019)_ [PERSON]; [PERSON] Detection and Diagnosis of Breast Cancer Using Machine Learning Algorithm. _Int. J. Adv. Sci. Technol._**2019**, _28_, 228-237. * _[PERSON] et al. (2019)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms. _J. Health. Eng._**2019**, _2019_, 4253641. [CrossRef] [PubMed]
* _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. Breast Cancer Detection Using Machine Learning Techniques. _Int. J. Eng. Res. Technol._**2021**, _10_. [CrossRef]
* _[PERSON] et al. (2019)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence. In Proceedings of the International Conference on Green, Pervasive, and Cloud Computing, Uberlandia, Brazil, 26-28 May 2019; pp. 18-30. * _[PERSON] and [PERSON] (2013)_ [PERSON]; [PERSON] Comparative Study of K-NN, Naive Bayes and Decision Tree Classification Techniques. _Int. J. Sci. Res._**2013**, \(5\), 1842-1845. * _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Breast Cancer Risk Prediction in African Women Using Random Forest Classifier. _Cancer Treat. Res. Commun._**2021**, _28_, 100396. [CrossRef]
* Ak (2020) [PERSON] A Comparative Analysis of Breast Cancer Detection and Diagnosis Using Data Visualization and Machine Learning Applications. _Healthcare_**2020**, \(8\), 111. [CrossRef]
* _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON] Breast Cancer Detection by Leveraging Machine Learning. _ICT Express_**2020**, \(6\), 320-324. [CrossRef]
* _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A New Nested Ensemble Technique for Automated Diagnosis of Breast Cancer. _Pattern Recognit. Lett._**2020**, _132_, 123-131. [CrossRef]
* _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Diagnosis of Breast Cancer Using Machine Learning Algorithms. _Int. J. Adv. Sci.