Optimized Tree Strategy with Principal Component Analysis Using Feature Selection-Based Classification for Newborn Infant’s Jaundice Symptoms

Algorithm 1

PCA-based optimized tree strategy.

	Input: N number of pixel rates (newborn baby image)
	Output: child (jaundice or not)
(1)	Set environment, as  = 1945 and get parents value
(2)	Set random seed streams for N limitation and initialize ;
(3)	For i = 1 to length (parents)
(4)	Child =  (i)
(5)	= find (random value (1 to length (child) < ))
(i)	Range =
(ii)	= range (1, 1 to column)
(iii)	= range (2, 1 to column)
(iv)	=  −
(v)	=  (1 to length ) ∗ span level
	If size (child) = size ( (child))
(a)	Break loop
	Else