As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level.

• Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders
• Analyzes methods in using big data to treat psychiatric and neurological disorders
• Describes the role machine learning can play in the analysis of big data
• Demonstrates the various methods of gathering big data in medicine
• Reviews how to apply big data to genetics