Virtual Healthcare Center for COVID-19 Patient Detection Based on Artificial Intelligence Approaches

Algorithm 1

ML techniques for patient’s symptoms checker.

	Input: Historical Symptoms Data
	Output: Infection probability
(1)	BEGIN
(2)	Initial step: Data collection (save any input patient`s data in the dataset
(3)	Step 1: apply SVM technique to the input data.
(4)	Fit(x,y): curve fitting
(5)	Compute accuracy score
(6)	Compute accuracy precision
(7)	Compute accuracy recall
(8)	Compute accuracy F1-score
(9)	Compute accuracy support
(10)	Step 2: apply KNN technique to the input data.
(11)	Fit(x,y): curve fitting
(12)	Compute accuracy score
(13)	Compute accuracy precision
(14)	Compute accuracy recall
(15)	Compute accuracy F1-score
(16)	Compute accuracy support
(17)	Step 3: apply Logistic function to the input data.
(18)
(19)	Learning (curve fitting): find optimal parameters that minimize the objective function
(20)	, where
(21)	Predict the infection probability
(22)	Fit(x,y): curve fitting
(23)	Compute accuracy score
(24)	Compute accuracy precision
(25)	Compute accuracy recall
(26)	Compute accuracy F1-score
(27)	Compute accuracy support
(28)	End