Results 31 to 40 of about 6,343,941 (231)

Cognitive bias modification for adult’s depression: A systematic review and meta-analysis

open access: yesFrontiers in Psychology, 2023
ObjectsThis study aimed to elucidate the effect of cognitive bias modification on depression.MethodsThis research included 10 randomized studies searching four major databases: PubMed, Embase, PsycINFO, and Cochrane Library, with a total sample size of ...
Jiawei Li   +4 more
doaj   +1 more source

A general model of cognitive bias in human judgment and systematic review specific to forensic mental health.

open access: yesLaw and Human Behavior, 2022
OBJECTIVE Cognitive biases can impact experts' judgments and decisions. We offer a broad descriptive model of how bias affects human judgment. Although studies have explored the role of cognitive biases and debiasing techniques in forensic mental health,
T. Neal   +3 more
semanticscholar   +1 more source

Critical Thinking and Cognitive Bias

open access: yesInformal Logic, 2015
Teaching critical thinking skill is a central pedagogical aim in many courses. These skills, it is hoped, will be both portable (applicable in a wide range of contexts) and durable (not forgotten quickly).
Jeffrey Maynes
doaj   +3 more sources

Cognitive Biases and Addictive Disorders: A Bibliometric Review

open access: yesPsychiatry International, 2022
Introduction: Since the early 2000s, there have been extensive investigations into cognitive biases in addictive disorders. The advances in the field have led to the discovery that cognitive bias exists in substance disorders and could in turn be ...
Melvyn W. B. Zhang
doaj   +1 more source

Cognitive Bias and Diagnostic Errors among Physicians in Japan: A Self-Reflection Survey

open access: yesInternational Journal of Environmental Research and Public Health, 2022
This cross-sectional study aimed to clarify how cognitive biases and situational factors related to diagnostic errors among physicians. A self-reflection questionnaire survey on physicians’ most memorable diagnostic error cases was conducted at seven ...
T. Watari   +4 more
semanticscholar   +1 more source

The antidepressant effect of cognitive reappraisal training on individuals cognitively vulnerable to depression: Could cognitive bias be modified through the prefrontal–amygdala circuits?

open access: yesFrontiers in Human Neuroscience, 2022
Cognitive reappraisal (CR) is one of the core treatment components of cognitive behavioral therapy (CBT) and is the gold standard treatment for major depressive disorders.
Xiaoxia Wang, Ying He, Zhengzhi Feng
doaj   +1 more source

The interplay between cognitive biases, attention control, and social anxiety symptoms: A network and cluster approach.

open access: yesPLoS ONE, 2023
Cognitive models of social anxiety highlight the importance of different cognitive biases (e.g., attention bias, interpretation bias) and executive dysfunctions, which have, however, mostly been investigated in isolation. The present study explored their
Nathalie Claus   +2 more
doaj   +1 more source

'More than words' - Interpersonal communication, cognitive bias and diagnostic errors.

open access: yesPatient Education and Counseling, 2021
During the diagnostic process, clinicians may make assumptions, prematurely judge or diagnose patients based on their appearance, their speech or how they are portrayed by other clinicians.
M. Dahm, Maureen Williams, C. Crock
semanticscholar   +1 more source

Cognitive Bias in Neuroimaging: A Study on How Information Affects Neuroradiological Reports [PDF]

open access: yes, 2022
openInsanity evaluation, in the field of forensic science, has always been faced with numerous challenges regarding its reliability, and integration with other approaches, such as neuroimaging techniques, could help mitigate this problem.
WIJAYA, JANET LOUISA
core  

Disentangled Knowledge Tracing for Alleviating Cognitive Bias [PDF]

open access: yesThe Web Conference
In the realm of Intelligent Tutoring System (ITS), the accurate assessment of students' knowledge states through Knowledge Tracing (KT) is crucial for personalized learning. However, due to data bias, i.e., the unbalanced distribution of question groups (
Yi-Yun Zhou   +3 more
semanticscholar   +1 more source

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