Literature DB >> 31029196

Computational Modeling in Pediatric Mental Health.

Joel Stoddard1, Matt Jones2.   

Abstract

Computational modeling has recently become of great interest to mental health clinicians as a tool for discovering the nature of pathophysiology and for clinical assessment, prediction, and treatment. Computational psychiatry is a term used to describe the application of computational modeling to behavioral and mental health problems. The National Institute of Mental Health (NIMH) has taken an interest in computational modeling, suggesting applications of interest, such as understanding the neural basis of mental illness, discovering new treatments, and predicting treatment response.1 In this brief overview, our goal is to touch on major themes that have emerged in computational psychiatry.
Copyright © 2019 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31029196      PMCID: PMC6615469          DOI: 10.1016/j.jaac.2018.12.009

Source DB:  PubMed          Journal:  J Am Acad Child Adolesc Psychiatry        ISSN: 0890-8567            Impact factor:   8.829


  9 in total

Review 1.  From reinforcement learning models to psychiatric and neurological disorders.

Authors:  Tiago V Maia; Michael J Frank
Journal:  Nat Neurosci       Date:  2011-02       Impact factor: 24.884

2.  Deep Learning-A Technology With the Potential to Transform Health Care.

Authors:  Geoffrey Hinton
Journal:  JAMA       Date:  2018-09-18       Impact factor: 56.272

Review 3.  Computational psychiatry as a bridge from neuroscience to clinical applications.

Authors:  Quentin J M Huys; Tiago V Maia; Michael J Frank
Journal:  Nat Neurosci       Date:  2016-03       Impact factor: 24.884

4.  Maximizing exposure therapy: an inhibitory learning approach.

Authors:  Michelle G Craske; Michael Treanor; Christopher C Conway; Tomislav Zbozinek; Bram Vervliet
Journal:  Behav Res Ther       Date:  2014-05-09

5.  What This Computer Needs Is a Physician: Humanism and Artificial Intelligence.

Authors:  Abraham Verghese; Nigam H Shah; Robert A Harrington
Journal:  JAMA       Date:  2018-01-02       Impact factor: 56.272

6.  A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol.

Authors:  Michael J Frank; Randall C O'Reilly
Journal:  Behav Neurosci       Date:  2006-06       Impact factor: 1.912

7.  Computational psychiatry.

Authors:  P Read Montague; Raymond J Dolan; Karl J Friston; Peter Dayan
Journal:  Trends Cogn Sci       Date:  2011-12-14       Impact factor: 20.229

8.  Suicide Risk Assessment in Hospitals: An Expert System-Based Triage Tool.

Authors:  Isabelle Desjardins; William Cats-Baril; Sanchit Maruti; Kalev Freeman; Robert Althoff
Journal:  J Clin Psychiatry       Date:  2016-07       Impact factor: 4.384

9.  Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.

Authors:  A Rumshisky; M Ghassemi; T Naumann; P Szolovits; V M Castro; T H McCoy; R H Perlis
Journal:  Transl Psychiatry       Date:  2016-10-18       Impact factor: 6.222

  9 in total

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