A Smart Healthcare Recommendation System for Multidisciplinary Diabetes Patients with Data Fusion Based on Deep Ensemble Learning

Algorithm 1 Ensemble ML-based diabetes prediction.

	Input: training set and a differentiable loss Function, number of iterations M.
	Output: A targeted person affected by diabetes disease or safe from the diabetes disease
	Step 1:
	(1) Initialize model with a constant value:
	(2) For m = 1 to M:
	(1) Compute so-called pseudo-residuals:
	(2)
	(3)
	(4)
	(3) Output