Machine learning on a smartphone-based CPT for ADHD prediction.

ABSTRACT:

Objectives

Continuous Performance Tests (CPTs) are widely utilized as objective measures in the assessment of Attention-Deficit/Hyperactivity Disorder (ADHD). The integration of sensor data in smartphones has become increasingly common as a way of monitoring several behavioural indicators of mental health. Machine learning has started being utilized in the field of ADHD to improve diagnosis. This investigation explores (i) the feasibility of using smartphone devices to administer a CPT for ADHD assessment and (ii) whether data from built-in sensors in smartphone devices is useful for predicting a diagnosis.

Methodology

The study uses data from a control group of neurotypical individuals and an ADHD cohort of unmedicated patients. The dataset is divided into a training and te

SUBMITTER: Casals N 

PROVIDER: S-EPMC12634579 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature