Screening autism spectrum disorder in children using machine learning on speech transcripts
Predictive performanceTo evaluate our models, we applied 5-fold stratified cross-validation on two datasets from ASD TalkBank. The Nadig dataset had...
screening
A quantum inspired machine learning approach for multimodal Parkinson’s disease screening
Data descriptionWe utilized the mPower public research portal, which contains measurements from over 6,000 participants—both healthy and those affected by...
Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection | BMC Psychiatry
Recursive Feature Elimination (RFE) and linear regression modelThrough Recursive Feature Elimination (RFE) combined with cumulative variance explanation (R2) analysis, this...
