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. 2023 Dec 22;31(3):692–704. doi: 10.1093/jamia/ocad244

Table 2.

Final optimized classifier parameters, down-sampling rate, and reduction method.

Concept Kernel Parameter Reduction Downsample Sentence
Validation + testing
AUC AP
Autonomic_dysfunction rbf 0.01 max 0.05 0.68 0.01
Cerebral_palsy Linear 0.1 noisy_or 1.0 0.93 0.62
Developmental_delay Linear 0.1 noisy_or 0.95 0.96 0.59
Epilepsy_or_seizures Linear 0.01 noisy_or 1.0 0.94 0.57
Feeding_issues Linear 0.01 noisy_or 0.90 0.93 0.33
Hypotonia Linear 0.01 noisy_or 0.60 0.94 0.36
Insomnia rbf 0.0001 noisy_or 0.60 0.90 0.02
Mood_disturbance Linear 0.005 noisy_or 1.0 0.95 0.23
Movement_disorders Linear 0.1 max 0.75 0.74 0.002
Oculogyric_crisis Linear 8.0 max 1.00 0.93 0.002

Sentence level performance on the validation + testing datasets shown for AUC (area under the receiver operating curve) and AP (average precision).