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Table 1 Advantages and disadvantages of ML algorithm

From: Current updates in machine learning in the prediction of therapeutic outcome of hepatocellular carcinoma: what should we know?

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Advantages It can process a big data
It can process a nonlinear data
It can be used to select meaningful predictive variables and extract radiomic variables
It usually has higher predictive performance than traditional statistical model
Disadvantages The accurate selection of ML algorithms is a challenge to establish a predictive model
The design of ML predictive models lacks standards
It is difficult to identify the process of ML model development due to the existence of “black box”
The generalization ability of the established model needs to be further confirmed in validation cohort
  1. ML machine learning