EEG and machine learning for ADHD children diagnosis: a systematic review and meta‑analysis

Attention Deficit Hyperactivity Disorder (ADHD) diagnosis is still based on behavioral criteria through a lengthy and time-consuming process. Much effort is being made to identify neuro-biomarkers and develop tools that could facilitate its diagnosis. In particular, using Machine Learning classifiers based on EEG data is promising, but there is an ongoing need for further research on their accuracy and reliability. Therefore, we plan to conduct a systematic review and meta-analysis to summarize the available evidence in the literature so far.