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Table 2 The different subsets of feature combinations used as input

From: A three-stage, deep learning, ensemble approach for prognosis in patients with Parkinson’s disease

  Feature set combinations
1 DaTscan + MDS-UPDRS-III + Clinical Information
2 DaTscan + MDS-UPDRS-III (No Clinical Information)
3 MDS-UPDRS-III + Clinical (No DaTscan Information)
4 DaTscan + Clinical (No MDS-UPDRS-III Information)
  1. DaTscan refers to the imaging features extracted directly from the convolutional LSTM network. Clinical information refers to the clinical measures of age, gender, and duration of illness with respect to time of diagnosis and time of appearance of symptoms