It is currently impossible to estimate the number of users who are experiencing Mental Depression symptoms. Today's recognition is highly reliant on observation of users' behaviours. This paper suggests a framework for considering behaviour factor relationships and categorising them using association-based classification (CBA).

Patient profiles from two Thai emergency clinics were utilized in our trials. Experts requested this data into two groupings: Autism and Pervasive Developmental Disorder - Not Otherwise Specified (PDD-NOS). Our discoveries uncover an assortment of charming conduct patterns in individuals with mental imbalance. These findings provide doctors with invaluable knowledge for future research into early autism symptom intervention. Our project aims to develop a data processing method that will aid doctors in diagnosing patients later on.