Optimizing diabetes classification with a machine learning-based framework

BMC Bioinformatics

Table 6 Result of logistic regression for correlation analysis

	Regression coefficients	Standard error	Wald	P	OR	OR 95% confidence interval
	Regression coefficients	Standard error	Wald	P	OR	Upper limit	Lower limit
Pregnancies	− 0.125	0.032	14.953	0.000***	0.882	0.828	0.94
Glucose	− 0.037	0.004	90.025	0.000***	0.964	0.956	0.971
BloodPressure	0.009	0.009	1.021	0.312	1.009	0.992	1.026
SkinThickness	− 0.003	0.013	0.062	0.803	0.997	0.971	1.023
Insulin	0.001	0.002	0.164	0.686	1.001	0.997	1.004
BMI	− 0.093	0.018	27.028	0.000***	0.911	0.88	0.944
DiabetesPedigreeFunction	− 0.87	0.297	8.56	0.003***	0.419	0.234	0.75
Age	− 0.013	0.01	1.838	0.175	0.987	0.969	1.006

ISSN: 1471-2105