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- Vol. 4 Issue 2
- Article
Breast Cancer Detection Using Supervised Machine Learning Algorithms
Authors
1Department of Computer Science, Sri Kaliswari College (Autonomous), Tamilnadu, India. 2Assistant professor, Department of Computer Sccience, Sri Kaliswari College (Autonomous), Tamilnadu, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 4, Issue 2 (2023)
- Published Online
- March-April 2023
- Pages
- 471-475
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
1. Shubham Sharma, Archit Aggarwal, Tanupriya Choudhury “Breast Cancer Detection using Machine Learning Algorithms"
2. National Institute of Cancer Prevention and Research, cancer statistics [Online], Available: http://cancerindia.org.in/statistics/
3. WHO breast cancer statistics [Online]. Available: http://www.who.int/cancer/prevention/diagnosis-screening/breastcancer/en/
4. B.M.Gayathri and C.P.Sumathi,”Mamdani fuzzy inference system for breast cancer risk detection”, 2015.
5. Mohd,F.,Thomas,M, “Comparison of different classification techniques using WEKA for Breast cancer” 2007.
6. Time complexity and optimality of kNN [Online] Available: https://nlp.stanford.edu/IR-book/html/htmledition/time-complexityandoptimality-of-knn-1.html
7. Gilles Louppe, “Understanding Random Forests from theory to practice” 2015.
2. National Institute of Cancer Prevention and Research, cancer statistics [Online], Available: http://cancerindia.org.in/statistics/
3. WHO breast cancer statistics [Online]. Available: http://www.who.int/cancer/prevention/diagnosis-screening/breastcancer/en/
4. B.M.Gayathri and C.P.Sumathi,”Mamdani fuzzy inference system for breast cancer risk detection”, 2015.
5. Mohd,F.,Thomas,M, “Comparison of different classification techniques using WEKA for Breast cancer” 2007.
6. Time complexity and optimality of kNN [Online] Available: https://nlp.stanford.edu/IR-book/html/htmledition/time-complexityandoptimality-of-knn-1.html
7. Gilles Louppe, “Understanding Random Forests from theory to practice” 2015.
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