Predictive role of machine-learning-based theory of mind in acute phase schizophrenia on social functioning

doi:10.3969/j.issn.1006-7795.2023.04.015

Abstract

Abstract: Objective To explore the predictive role of machine-learning-algorithm-based mind theory in social function of patients with schizophrenia in the acute phase. Methods Ninety patients with acute schizophrenia from the outpatient clinic of Beijing An Ding Hospital, Capital Medical University from 2013 to 2017 were selected, and the Positive and Negative Syndrome Scale (PANSS) was used to assess the psychiatric symptoms of the patients with acute schizophrenia.The number of completed categories on the Wisconsin Card Sorting Test (WCST), the mean reaction time on the Continuous Practice Test (CPT), and the number breadth items on the Wechsler Adult Intelligence Scale (WAIS) were selected to assess neurocognition. First-order false belief test, Second-order false belief test, Faux-pas test, and Reading the mind in the eyes test were selected to assess social cognition. The personal and social functioning scale (PSP) was selected to assess social function. The machine learning algorithms was applied to assess the predictive role of psychological theory of competence in acute phase schizophrenia on social functioning. Results The results of the correlation analysis showed that PSP scores of the acute schizophrenia patients were the negatively correlated with negative symptoms (r=－0.271, P=0.010), the number of WCST (r=－0.128, P=0.328), and positively correlated with faux-pas test(r=0.410, P<0.001). Second-false Belief Test and Faux-pas Test were good predictors of social function in the acute schizophrenia patients. The area under the curve (AUC) value was 80.9%.Conclusions The impairment of social function in the patients with acute schizophrenia is closely related to the negative symptoms and theory of mind, indicating that the theory of mind is a good predictor of social function in the patients with schizophrenia in the acute phase.

Key words: chizophrenia, theory of mind, social function, machine learning

CLC Number:

Zhong Jie, Zhu Hong, Zheng Sisi, Jia Hongxiao. Predictive role of machine-learning-based theory of mind in acute phase schizophrenia on social functioning[J]. Journal of Capital Medical University, 2023, 44(4): 596-601.

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https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/Y2023/V44/I4/596

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