Survival Risk Prediction of Esophageal Squamous Cell Carcinoma Based on BES-LSSVM

Algorithm 1

Framework of GA-FS.

	Input:: the iterations : the maximum iterations
	Output: the feature subset
(1)
(2)	The generation of the initial population.
(3)	Determine the fitness function
(4)	Population selection
(5)	Two-point crossover
(6)	Population mutation
(7)	Select characteristic genes according to the optimal individual
(8)	=
(9)