Objective To compare the incidence of social function disorders in head injury patients with and without craniocerebral injury and to explore the value for mental identification. Methods SDSS (Social Disability Screening Schedule), GAF (Global Assessment Function) and GAS (Global Assessment Scale) instruments were used to test the social function of 56 patients without craniocerebral injury and 55 patients with craniocerebral injury. Results One hundred and eleven patients with head injury were included and identified as head injury with or without craniocerebral injury by CT or MRI. The incidence of social function deficit, tested by using SDSS instrument, was 33.9% (19/56) in patients without craniocerebral injury and 45.5% (25/55) in patients with craniocerebral injury respectively. There was no statistically significant difference between the two groups (χ2=1.544, P=0.214). This was also no statitical difference in both GAS group (t=0.021, P=0.983) and GAF group (t=0.391, P=0.697). Conclusions The limited evidence showed that the incidence of social function deficit of the head injury patients combined with craniocerebral injury is higher than those who without craniocerebral injury, but the difference between the two groups has no statistically significant difference.We could not detect a difference in the incidence of social deficit between those head injury patients with or without craniocerebral injury ones.
Objective To explore factors that affect the assessment of sexual self-defense capacity and to evaluate the effect of social functions on sexual self-defense capacity in patients with mental retardation. Methods A 1∶1 matched case-control study was carried out, which included 174 sexual assault cases, 87 with mental retardation and 87 without mental retardation. A record of forensic psychiatry assessment designed by ourselves was used to collect the general characteristics. Wechsler Adult Intelligence-Rerisedin China (WAIS-RC) was used to determine the intelligence quotient. Rating Scale of Intellectual Disability (RSID) and Global Assessment Function (GAF) were used to assess social functions. Results Besides factors such as culture, occupation, knowledge about sex and payment claim, the scores of GAF and RSID were also related to the assessment of sexual self-defense capacity. Moreover, the correct ratio of discrimination was 73.1% (yes), 66.9% (impaired) and 87.2% (no), respectively, and the general correct ratio of discrimination was 78.1%. Conclusion Not only social and legal factors but also the level of social functions should be considered in the assessment of sexual self-defense capacity. Therefore, it might be concluded that multiple discriminant analysis can be useful when assessing the sexual self-defense capacity of patients with mental retardation.
Speech feature learning is the core and key of speech recognition method for mental illness. Deep feature learning can automatically extract speech features, but it is limited by the problem of small samples. Traditional feature extraction (original features) can avoid the impact of small samples, but it relies heavily on experience and is poorly adaptive. To solve this problem, this paper proposes a deep embedded hybrid feature sparse stack autoencoder manifold ensemble algorithm. Firstly, based on the prior knowledge, the psychotic speech features are extracted, and the original features are constructed. Secondly, the original features are embedded in the sparse stack autoencoder (deep network), and the output of the hidden layer is filtered to enhance the complementarity between the deep features and the original features. Third, the L1 regularization feature selection mechanism is designed to compress the dimensions of the mixed feature set composed of deep features and original features. Finally, a weighted local preserving projection algorithm and an ensemble learning mechanism are designed, and a manifold projection classifier ensemble model is constructed, which further improves the classification stability of feature fusion under small samples. In addition, this paper designs a medium-to-large-scale psychotic speech collection program for the first time, collects and constructs a large-scale Chinese psychotic speech database for the verification of psychotic speech recognition algorithms. The experimental results show that the main innovation of the algorithm is effective, and the classification accuracy is better than other representative algorithms, and the maximum improvement is 3.3%. In conclusion, this paper proposes a new method of psychotic speech recognition based on embedded mixed sparse stack autoencoder and manifold ensemble, which effectively improves the recognition rate of psychotic speech.
ObjectivesTo systematically review the clinical efficacy and safety of antipsychotics for delirium. MethodsDatabases including The Cochrane Library (Issue 5, 2015), PubMed, MEDLINE, EMbase, CNKI, VIP and WanFang Data were electronically searched for randomized controlled trials (RCTs) about antipsychotics compared with placebo/blank for delirium from inception to May 2015. We also hand-searched related conference proceedings and references of included studies for additional studies. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies. Then, meta-analysis was conducted by using RevMen 5.3 software. ResultsA total of 7 RCTs involving 712 patients were included. The results of meta-analysis showed that there were no significant differences between the antipsychotics group and the placebo/blank group in mortality (RR=1.00, 95%CI 0.90 to 1.10, P=0.99), duration of delirium (MD=-1.53, 95%CI -4.95 to 1.89, P=0.38), length of stay (MD=-0.89, 95%CI -7.69 to 5.90, P=0.80), and ICU stay time (MD=-3.70, 95%CI -15.83 to 8.43, P=0.55). Compared with the placebo/ blank group, the antipsychotics could reduce the severity of delirium (SMD=-1.62, 95%CI -2.32 to -0.93, P<0.000 01). ConclusionCurrent evidence shows that the efficacy of antipsychotics in the treatment of delirium is not clear. Due to the limited quantity and quality of the included studies, the above conclusion needs to be further verified by more high quality studies.