Results: 4

1.
Figure 3

Figure 3. From: Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data.

The AUC Curve of Biomarkers-15 by sparse logistic regression with stability selection.

Jieping Ye, et al. BMC Neurol. 2012;12:46-46.
2.
Figure 4

Figure 4. From: Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data.

The change of the AUC score when the number of selected features varies.

Jieping Ye, et al. BMC Neurol. 2012;12:46-46.
3.
Figure 1

Figure 1. From: Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data.

The number of MCI to AD conversions at each time point (6, 12, 18, 24, 36, 48 months).

Jieping Ye, et al. BMC Neurol. 2012;12:46-46.
4.
Figure 2

Figure 2. From: Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data.

The top 15 features (included in Biosignature-15) identified by sparse logistic regression with stability selection. The vertical axis is the stability score multiplied by 100 (between 0 and 100) and indicates the importance of the features. WM indicates White Matter.

Jieping Ye, et al. BMC Neurol. 2012;12:46-46.

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