[Retracted] A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases

Table 9

Hybrid classification for CVD on 60-second forecasted vital signs.

Classifier		Best settings		Performance metrics
	Vital sign	MSE	MAPE	Precision	Recall	F-measure
Naïve Bayes	spo2	3.49538	1.49338	0.77	0.64	0.66
	HR	7.9457	2.75838
	NBP (Sys)	83.08452	7.7184
	NBP (Dia)	35.41272	6.76452
	NBP (mean)	36.2189	6.99832
Support Vector Machine	spo2	3.49538	1.49338	0.69	0.56	0.60
	HR	7.9457	2.75838
	NBP (Sys)	83.08452	7.7184
	NBP (Dia)	35.41272	6.76452
	NBP (mean)	36.2189	6.99832
Decision Tree (J48)	spo2	3.49538	1.49338	0.58	0.36	0.37
	HR	7.9457	2.75838
	NBP (Sys)	83.08452	7.7184
	NBP (Dia)	35.41272	6.76452
	NBP (mean)	36.2189	6.99832