Big data application: Study and archival of mental health data, using MongoDB

In recent years, due to huge growth in mental disorder and its serious impact throughout the world it has becoming a necessity to better understand the dissatisfactory outcomes from metal health problem. Since there is an extreme large dataset which was becoming difficult to process with database management tools, there was a need to accumulate the mental health data using big data analytics tools and techniques. This paper is putting forward the ideas and strategy of using data mining techniques such as genetic algorithm that can be applied on the data which was acquired from world statistics of mental health and deployed this data into a big data tool like MongoDB and extracted structured data sets that could help us to better understand what treatment work for which kind of patient.