"Biological psychiatry is at an impasse. Despite several decades of intense research, few if any, biological parameters have contributed to a signifi cant improvement in the life of a psychiatric patient. It is argued that this impasse may be a consequence of an obsessive focus on mechanisms. Alternatively, a risk-prediction framework provides a more pragmatic approach, because it aims to develop tests and measures which generate clinically useful information. Computational approaches may have an important role to play here. This chapter presents an example of a risk-prediction framework, which shows that computational approaches provide a signifi cant predictive advantage. Future directions and challenges are highlighted."
Computational Psychiatry: New Perspectives on Mental Illness
Over the next 3 years, 50% of the chapters will be posted on a monthly rotational basis. Take a look by following the above link to the MIT Press website and “Look Inside the Book.”
Ernst Strüngmann Forum Reports
Additional books published by MIT Press
Paulus MPP, Huang C, Harle KM. 2016. Call for Pragmatic Computational Psychiatry: Integrating Computational Approaches and Risk-Prediction Models and Disposing of Causality. In: Computational Psychiatry: New Perspectives on Mental Illness, edited by A. D. Redish and J. A. Gordon. Strüngmann Forum Reports, vol. 20, J. Lupp, series editor. Cambridge, MA: MIT Press.