MACHINE LEARNING TRACKER FOR MENTAL HEALTH APPROACH

One of the most pernicious consequences of COVID-19 on society is how it has impacted worldwide mental health, creating new problems and aggravating existing ones. When the few resources are geared for the pandemic, mental health issues and therapy typically take a backseat. Therefore, it's important to monitor any psychological issues before they spiral out of control. The goal of this study is to develop a machine learning-based mental health tracker that primarily focuses on cognitive mental disorders. The MMSE test, which offers a quantifiable measure of cognitive impairment and a way to track cognitive changes over time, is one of the screening methods used to make sure that issues are discovered early. Clusters are created using the K-means clustering algorithm with the potential for dementia incidence.