Identification of violent patients with schizophrenia using a hybrid machine learning approach at the individual level-Reference-Cited by-同舟云学术

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Identification of violent patients with schizophrenia using a hybrid machine learning approach at the individual level

Published:2021-12 Issue: Volume:306 Page:114294
ISSN:0165-1781
Container-title:Psychiatry Research
language:en
Short-container-title:Psychiatry Research

Author:

Gou Ningzhi,Xiang Yizhen,Zhou Jiansong,Zhang Simei,Zhong Shaoling,Lu Juntao,Liang Xiaoxi,Liu Jin,Wang Xiaoping

Publisher

Elsevier BV

Subject

Biological Psychiatry,Psychiatry and Mental health

Reference64 articles.

1. Re-wiring guilt: how advancing neuroscience encourages strategic interventions over retributive justice;Anderson;Front. Psychol.,2020

2. Volumetric structural brain abnormalities in men with schizophrenia or antisocial personality disorder;Barkataki;Behav. Brain Res.,2006

3. Risk factors for violence among patients with schizophrenia;Bo;Clin. Psychol. Rev.,2011

4. Predictors of criminal offending in a clinical sample of patients diagnosed with schizophrenia: a 6-year follow-up study;Bo;Personal. Disord.,2020

5. Dopaminergic network differences in human impulsivity;Buckholtz;Science,2010

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1. Investigation of peripheral inflammatory biomarkers in association with violence in schizophrenia;BMC Psychiatry;2024-07-31

2. Editorial: Applications of artificial intelligence in forensic mental health: opportunities and challenges;Frontiers in Psychiatry;2024-06-12

3. Machine Learning for prediction of violent behaviors in schizophrenia spectrum disorders: a systematic review;Frontiers in Psychiatry;2024-03-21

4. Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry;Frontiers in Psychiatry;2024-03-08

5. The neurofunctional basis of human aggression varies by levels of femininity;Social Neuroscience;2024-03-03

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