Machine learning, a subset of artificial intelligence (AI), has taken the world by storm. Within the healthcare domain, it is possible to see how machine learning can make manual processes easier, providing benefits for patients, providers, and pharmaceutical companies alike. Google, for example, has developed a machine learning algorithm that can identify cancerous tumors on mammograms. Similarly, Stanford University has developed a deep learning algorithm to identify skin cancer.
In this chapter, we will discuss how one can use machine learning to detect breast cancer. We will look at the following topics:
- Objective of this project
- Detecting breast cancer with SVM and KNN
- Data visualization with machine learning
- Relationships between variables
- Understanding machine learning algorithms
- Training models
- Predictions in machine learning
