On the Scalability of Machine-Learning Algorithms for Breast Cancer Prediction in Big Data Context.
Sara AlghunaimHeyam H. Al-BaityPublished in: IEEE Access (2019)
Keyphrases
- machine learning algorithms
- breast cancer
- big data
- survival analysis
- benchmark data sets
- bladder cancer
- machine learning
- learning algorithm
- breast cancer diagnosis
- decision trees
- machine learning methods
- predictive modeling
- data analysis
- social media
- big data analytics
- computer aided diagnosis
- logistic regression
- outcome prediction
- data management
- cloud computing
- business intelligence
- data processing
- diagnosis of breast cancer
- mammogram images
- standard machine learning algorithms
- knowledge discovery
- imputation methods
- regression model
- databases
- cancer patients
- social networks
- real world