What question did this study set out to answer?

To investigate whether specific language milestones can predict the severity of autism spectrum disorder in children.

Predicting autism spectrum disorder severity in children based on specific language milestones: a random forest model approach

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Random forest model predicts autism spectrum disorder severity using language milestones, indicating key indicators for intervention.

To investigate whether specific language milestones can predict the severity of autism spectrum disorder in children.
Included 574 children diagnosed with autism spectrum disorder.
Evaluated 33 language milestones covering receptive, expressive, and pragmatic aspects.
Applied Boruta algorithm for predictor identification and random forest models for each age group.
Used nested cross-validation and grid search for hyperparameter tuning.
Assessed model performance with bootstrapping to estimate AUC, accuracy, sensitivity, specificity, and F1 scores.
Identified 14 significant predictors of ASD severity in children under 4 years.
Identified 16 significant predictors of ASD severity in children aged 4 years and above.
Achieved AUC values of 0.81 ± 0.01 for younger group and 0.85 ± 0.00 for older group.

Xiong et al. (2025) studied this question.

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View Full Paper

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Authors

Random forest model predicts autism spectrum disorder severity using language milestones, indicating key indicators for intervention.

To investigate whether specific language milestones can predict the severity of autism spectrum disorder in children.
Included 574 children diagnosed with autism spectrum disorder.
Evaluated 33 language milestones covering receptive, expressive, and pragmatic aspects.
Applied Boruta algorithm for predictor identification and random forest models for each age group.
Used nested cross-validation and grid search for hyperparameter tuning.
Assessed model performance with bootstrapping to estimate AUC, accuracy, sensitivity, specificity, and F1 scores.
Identified 14 significant predictors of ASD severity in children under 4 years.
Identified 16 significant predictors of ASD severity in children aged 4 years and above.
Achieved AUC values of 0.81 ± 0.01 for younger group and 0.85 ± 0.00 for older group.

Xiong et al. (2025) studied this question.

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