Table 2.

Area under the curves for predicting intradialytic hypotension for the four models used in this study

Outcome	Models	Area Under the Receiver Operating Characteristic Curve (95% Confidence Interval)	P valuea	Area Under the Precision-Recall Curve (95% Confidence Interval)
IDH-1	RNN	0.94 (0.94 to 0.94)		0.62 (0.61 to 0.62)
	MLP	0.93 (0.93 to 0.94)	<0.001	0.60 (0.60 to 0.60)
	LightGBM	0.93 (0.93 to 0.94)	<0.001	0.50 (0.59 to 0.60)
	LR	0.92 (0.92 to 0.92)	<0.001	0.56 (0.55 to 0.55)
IDH-2	RNN	0.87 (0.87 to 0.87)		0.78 (0.78 to 0.78)
	MLP	0.87 (0.86 to 0.87)	<0.001	0.77 (0.77 to 0.78)
	LightGBM	0.87 (0.87 to 0.87)	0.001	0.77 (0.77 to 0.78)
	LR	0.85 (0.85 to 0.85)	<0.001	0.74 (0.74 to 0.74)
IDH-3	RNN	0.79 (0.79 to 0.79)		0.51 (0.51 to 0.51)
	MLP	0.78 (0.78 to 0.79)	<0.001	0.50 (0.50 to 0.50)
	LightGBM	0.78 (0.78 to 0.79)	<0.001	0.49 (0.49 to 0.49)
	LR	0.76 (0.76 to 0.77)	<0.001	0.46 (0.46 to 0.47)

IDH-1, intradialytic hypotension defined as nadir systolic BP <90 mm Hg; IDH-2, intradialytic hypotension defined as decrease in systolic BP ≥20 mm Hg and/or decrease in mean arterial pressure ≥10 mm Hg on the basis of BP at initial time point; IDH-3, intradialytic hypotension defined as decrease in systolic BP ≥20 mm Hg and/or decrease in mean arterial pressure ≥10 mm Hg on the basis of BP at prediction time point. RNN, recurrent neural network, MLP, multilayer perceptron; LightGBM, Light Gradient Boosting Machine; LR, logistic regression.

^aCompared with the receiver operating characteristic curve of RNN model by the Delong test.