Fig. 1: Identifying trajectory clusters with varying patterns of decline, using a mixture of Gaussian processes model. | Nature Computational Science

Fig. 1: Identifying trajectory clusters with varying patterns of decline, using a mixture of Gaussian processes model.

From: Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data

Fig. 1: Identifying trajectory clusters with varying patterns of decline, using a mixture of Gaussian processes model.The alternative text for this image may have been generated using AI.

The 24 largest clusters (out of 92) from PRO-ACT are shown. The first-year slope is calculated as the difference between 48 and the mean cluster score 1 yr after symptom onset, divided by the time from symptom onset. n indicates the number of ALS patients in each cluster. The shaded area indicates the 0.95 confidence interval.

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