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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Applied Value of Electroencephalogram in Assessment of Mild Psychiatry Impairment]
1Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
Objectives:
To explore the applied value of electroencephalogram (EEG) in assessment of psychiatric impairment among patients with mental disorders due to traumatic brain injury.
Methods:
According to the ICD-10, a total of 271 subjects were enrolled and assessed with the criterion of mental disorders due to traumatic brain injury. Activity of Daily Living Scale (ADL), Functional Activities Questionnaire (FAQ) and Social Disability Screening Schedule (SDSS) were used to evaluate the severity of patients. All the participants were tested by Wechsler Adult Intelligence Scale (WAIS) and examined by EEG.
Results:
Totally 215 patients accomplished the study. The results of Glasgow Coma Scale (GCS), the severity of craniocerebral injury and the scores of FAQ, SDSS and ADL showed significant difference among the patients with different severity of EEG (P<0.05). The grades of psychiatric impairment showed significant difference among the patients with different abnormal EEG (P<0.05).
Conclusions:
EEG can reflect the severity of craniocerebral injury, assist evaluate the social function and activity of daily living of patients with mental disorders due to traumatic brain injury, and distinguish the mild psychiatric impairment grades, which suggest that EEG has a certain reference value in the assessment of psychiatric impairment.
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