Wentian Dong , Yong He , Jiuju Wang , Chuan Shi , Qihui Niu , Haokui Yu , Jun Ji , Xin Yu
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引用次数: 1
Abstract
Background and objectives
To explore the discriminatory ability of a decision tree model based on cognitive testing data for the differential diagnosis of schizophrenia.
Methods
This study enrolled 82 patients with schizophrenia and 82 patients with affective disorders. The cognitive function of the two groups of participants was assessed based on learning, symbol coding, digital span, trail making, and category fluency tests. The logistic regression model in the sklearn package in Python was applied to discriminate and analyse the data for all 11 variables in the MATRICS Consensus Cognitive Battery (MCCB).
Results
The recognition rate for schizophrenia and affective disorder using all 11 variables of the MCCB was 82%.
Conclusion
The logistics model based on cognitive data distinguished patients with schizophrenia from those with affective disorder.
期刊介绍：
The European journal of psychiatry is a quarterly publication founded in 1986 and directed by Professor Seva until his death in 2004. It was originally intended to report “the scientific activity of European psychiatrists” and “to bring about a greater degree of communication” among them. However, “since scientific knowledge has no geographical or cultural boundaries, is open to contributions from all over the world”. These principles are maintained in the new stage of the journal, now expanded with the help of an American editor.
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