Wearable movement-tracking data identify Parkinson’s disease years before clinical diagnosis - Nature Medicine

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Wearable movement-tracking data identify Parkinson’s disease years before clinical diagnosis - Nature Medicine
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UK Biobank motion tracking data show increased performance as compared to symptoms and genetic and lifestyle factors in identifying prodromal Parkinson's disease in the general population CynthiaSandor4 UKDRI

The boxplots show the mean predicted probability on the test set across the five outer folds for each diagnosis group with the 25% and 75% quartiles as the bounds of the box, and the Q3 + 1.5*IQR/ Q1 - 1.5*IQR as the whiskers. The individual data points for each subject are shown as overlayed dots. The predicted probabilities are also shown for the external data : for the prodromal model, the diagnosed Parkinson’s disease group is used and for the diagnosed model, the prodromal PD group is used.

The calibration plots are shown for each single modality model and the combined model. We show this for all three control groups: (

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