Artificial intelligence in liver transplantation: Opportunities and challenges

Table 2 Comparison between supervised and unsupervised machine learning

Characteristics	Unsupervised	Supervised
Definition	Machine tries to find hidden pattern in the data by itself without human interference	Machines identify the pattern in the new data based on labeled input data with human interference
Input data	Unlabeled	Labeled
When to use	You do not know what you are looking for in the data	You know what you are looking for in the data
Typical tasks	Clustering and association problems	Classification and regression problems
Accuracy of result	May provide less accurate result	Provide more accurate result
Common algorithm	k-means clustering, hierarchical clustering, principal component analysis	Support vector machine
		Decision tree
		Random forest
Example of use	Anomaly detection	Spam filters
	Customer segmentation	Price prediction
	Preparing data for supervised learning	Image identification