Table 1.

Comparison of different classifier models for obtaining AUC values.

	Classification algorithms
	Gradient boosting tree	Support vector machine	Decision tree	Random forest	Logistic regression
Emotional support	0.87	0.89	0.78	0.85	0.77
Experience-based information	0.86	0.80	0.76	0.83	0.74
Unconventional information	0.80	0.75	0.69	0.75	0.66
Medical facts	0.83	0.72	0.67	0.83	0.61