Machine Learning Techniques for Survival Time Prediction in Breast Cancer

2018 ◽  
pp. 186-194 ◽  
Author(s):  
Iliyan Mihaylov ◽  
Maria Nisheva ◽  
Dimitar Vassilev
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Survival Time ◽  
Machine Learning Techniques ◽  
Time Prediction ◽  
Learning Techniques

Survey of Breast Cancer Detection Using Machine Learning Techniques in Big Data

2019 ◽  
Vol 21 (3) ◽  
pp. 80-92
Author(s):  
Madhuri Gupta ◽  
Bharat Gupta
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Research Work ◽  
Cancer Recurrence ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Common Disease ◽  
Learning Techniques ◽  
Learning Frameworks ◽  
Processing Engine

Cancer is a disease in which cells in body grow and divide beyond the control. Breast cancer is the second most common disease after lung cancer in women. Incredible advances in health sciences and biotechnology have prompted a huge amount of gene expression and clinical data. Machine learning techniques are improving the prior detection of breast cancer from this data. The research work carried out focuses on the application of machine learning methods, data analytic techniques, tools, and frameworks in the field of breast cancer research with respect to cancer survivability, cancer recurrence, cancer prediction and detection. Some of the widely used machine learning techniques used for detection of breast cancer are support vector machine and artificial neural network. Apache Spark data processing engine is found to be compatible with most of the machine learning frameworks.

Abstract P3-08-11: The application of machine learning techniques to standardize breast cancer grading and develop multivariate risk outcome models

2020 ◽  
Author(s):  
Marcel Prastawa ◽  
Abishek Sainath Madduri ◽  
Brandon Veremis ◽  
Alexander Shtabsky ◽  
Bahram Marami ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Machine Learning Techniques ◽  
Multivariate Risk ◽  
Learning Techniques ◽  
Cancer Grading

Performance analysis of machine learning techniques for the prediction of breast cancer in big data environment

2020 ◽  
Author(s):  
Premalatha Jayapaul ◽  
Aswini Balasundaram ◽  
Kavi Priya Dharshini Seturamalingam ◽  
Kavithra Sekar
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Big Data ◽  
Performance Analysis ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Data Environment
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