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The Effectiveness of Theory-Driven Computer Models of Drug Addiction in Humans | OMICS International| Abstract
ISSN: 2471-9846

Journal of Community & Public Health Nursing
Open Access

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  • Short Communication   
  • J Comm Pub Health Nursing 2023, Vol 9(4): 399
  • DOI: 10.4172/2471-9846.1000399

The Effectiveness of Theory-Driven Computer Models of Drug Addiction in Humans

Jyotika Devi*
Research scholar, Department of Social Work, Central University of Himachal Pradesh, India
*Corresponding Author : Jyotika Devi, Research scholar, Department of Social Work, Central University of Himachal Pradesh, India, Email: jyotikamohan62@gmail.com

Received Date: Apr 03, 2023 / Published Date: Apr 29, 2023

Abstract

Several people believe that neurocognitive dysfunctions are the cause of the maladaptive behaviour seen in drug addiction. Using computational tools to explore these dysfunctions in drug-dependent people has been more popular recently, in part because it offers a quantitative framework for inferring the psychological mechanisms that may have gone wrong in addiction. Thus, we set out to assess how well these theory-driven computational models have served this function in the field of addiction research.

Citation: Devi J (2023) The Effectiveness of Theory-Driven Computer Models of Drug Addiction in Humans. J Comm Pub Health Nursing, 9: 399. Doi: 10.4172/2471-9846.1000399

Copyright: © 2023 Devi J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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