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Table 1.

Breakdown of PPMI dataset by number of participant and modality features.

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Table 1 Expand

Table 2.

Cross-sectional performance of MOGDx in different subgroup experiments.

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Table 2 Expand

Fig 1.

Performance of Best vs. Baseline (MDS-UPDRS) models at each time point.

(A) Idiopathic & Genetic, (B) Genetic, (C) Idiopathic. The best model in each subgroup at each time point corresponds to the combination of modalities reported in Table 2. The performance of the MDS-UPDRS baseline models are reported in S1 File.

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Fig 1 Expand

Table 3.

Longitudinal experiments performance metrics.

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Table 3 Expand

Fig 2.

Patient stratification for model trained at year three.

(A) Within class accuracy and predictions, with the interconnecting bands showing incorrect model predictions and the thickness of the bands reflecting the number of patients misclassified. (B) The percentage of times the model correctly classified an individual patient. The sharp decline in the PD class shows there is a subset of ˜65% of PD participants who are more easily identified at all time points.

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Fig 2 Expand

Table 4.

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Table 4 Expand