Jump to ContentJump to Main Navigation

You are looking at 1-2 of 2 items

  • Keywords: Bayesian Integrative Framework x
Clear All Modify Search

View:

A Novel Framework for Improving Psychiatric Diagnostic Nosology

Shelly B. Flagel, Daniel S. Pine, Susanne E. Ahmari, Michael B. First, Karl J. Friston, Christoph Mathys, A. David Redish, Katharina Schmack, Jordan W. Smoller, and Anita Thapar

in Computational Psychiatry: New Perspectives on Mental Illness

Published in print:
2016
Published Online:
May 2017
ISBN:
9780262035422
eISBN:
9780262337854
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262035422.003.0010
Subject:
Psychology, Cognitive Neuroscience

This chapter proposes a new framework for diagnostic nosology based on Bayesian principles. This novel integrative framework builds upon and improves the current diagnostic system in psychiatry. ... More


From Psychiatry to Computation and Back Again

A. David Redish and Joshua A. Gordon

in Computational Psychiatry: New Perspectives on Mental Illness

Published in print:
2016
Published Online:
May 2017
ISBN:
9780262035422
eISBN:
9780262337854
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262035422.003.0017
Subject:
Psychology, Cognitive Neuroscience

In the opening chapters of this volume, we outlined a series of challenges facing psychiatry, as well as a description of its various promises, and suggested that taking a computational perspective ... More


View: