START DATE AND DURATION: October 2019
Summary
People diagnosed with personality disorder are at exceptionally high risk of poor outcomes following their engagement with health and social care services.
This PhD study involves the application of innovative machine learning, artificial intelligence or advanced quantitative techniques – such as Structural Equation Models, decision trees or Bayesian Networks – to a unique, linked dataset of primary and secondary care records. It aims to enhance risk prediction and decision-making at clinical and commissioning levels.
