Table 2 C-index, Log-rank score, and Brier score for different clustering methods in datasets.

From: Neural network-based clustering model of ischemic stroke patients with a maximally distinct distribution of 1-year vascular outcomes

 

SPI-II

K-prototype

SSC-Bair

DLC-MMD

DLC-Kuiper UB

P-value

(A) Training set, mean (SD)

C-index

0.615 (0.015)

0.523 (0.012)

0.523 (0.013)

0.673 (0.030)

0.709 (0.019)

 < 0.001

Log-rank score

116.990 (12.122)

4.061 (2.356)

4.515 (2.971)

476.833 (110.306)

817.736 (140.927)

 < 0.001

Brier score

0.085 (0.001)

0.086 (0.001)

0.086 (0.001)

0.081 (0.002)

0.076 (0.002)

 < 0.001

(B) Validation set, mean (SD)

C-index

0.628 (0.022)

0.531 (0.018)

0.532 (0.024)

0.654 (0.032)

0.690 (0.018)

 < 0.001

Log-rank score

43.690 (9.587)

3.555 (2.547)

3.673 (2.706)

106.983 (30.735)

170.533 (24.017)

 < 0.001

Brier score

0.084 (0.002)

0.086 (0.002)

0.086 (0.002)

0.080 (0.001)

0.077 (0.001)

 < 0.001

(C) Test set, mean (SD)

C-index

0.614 (0.024)

0.525 (0.022)

0.524 (0.020)

0.657 (0.039)

0.674 (0.027)

 < 0.001

Log-rank score

38.247 (9.315)

2.810 (2.769)

2.796 (2.753)

106.249 (33.097)

153.099 (32.740)

 < 0.001

Brier score

0.085 (0.002)

0.086 (0.002)

0.086 (0.002)

0.081 (0.002)

0.079 (0.001)

 < 0.001

  1. P-value; One-Way ANOVA.