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The problem
Intervention: Machine learning model using logistic regression applied to speech and linguistic data from a serious game
Who it was tested with: 184 children with average age of 7 years.
Experience from people who deliver programmes: stories, case studies and lessons learned. Valuable for understanding how and why, and for spotting what to test next, but not a measure of effect.
"A robust prediction model was developed using logistic regression. Applied to a subset of 184 participants with an average age of 7 years, the model demonstrated high accuracy, precision, recall, and F1-score, effectively distinguishing between instances with and without neurodevelopmental disorders." The design appears to be a single cohort with model application but lacks a true comparison group or validation strategy that would qualify as experimental.
Specific numerical results are not provided. The study lacks clarity on whether this represents a single training cohort, cross-validation results, or a separate test set. No information on clinical sensitivity/specificity or comparison with standard diagnostic procedures is given. Sample size of 184 is moderate.
Across countries and designs
1 study · 2 countries
