TABLE 1.

Differences between traditional statistical methods vs advanced analytical techniques

Factors	Traditional statistical techniques	Advanced analytical techniques
Training data	Works with Smaller Datasets	Better with Large Datasets
Usability	Exploratory and baseline analysis	Iterative, complex, and ready to be deployed in clinical application
Interpretability	Easily interpretable	Complex techniques can be difficult to interpret
Hardware and training time	Requires simple hardware configuration and less training time	Complex models require powerful computing hardware and more training time
Types of input data	Works well only with categorical and numerical data	Works with all types of data including audio, image, free text
Examples	Logistic and Linear Regression, Generalized Additive Models, single decision tree	Neural Network, complex decision trees with several layers