Fig. 4: Assessing trajectory consistency across datasets. | Nature Computational Science

Fig. 4: Assessing trajectory consistency across datasets.

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

Fig. 4: Assessing trajectory consistency across datasets.The alternative text for this image may have been generated using AI.

a, The reference model was trained on PRO-ACT and used to predict progression trajectories of participants in other datasets; the four largest reference model clusters are shown. b, Average test error between cluster mean function and participant ALSFRS-R scores, using the reference model and study-specific models. P values were calculated with a Wilcoxon signed-rank one-sided test. The error bars show the 0.95 confidence interval around the mean. N = 5 test–train splits.

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