Objective: The random forest algorithm was used to construct a rapid screening diagnostic prediction model for children with autism spectrum disorder, to provide the references for early detection, early diagnosis of ASD children, and to reduce the pressure of ASD clinical diagnosis and assessment. Methods: The random forest algorithm of machine learning was applied to build the auxiliary diagnosis model. Totally 346 ASD children and 90 normal children were evaluated by Social Responsiveness Scale and Vineland Adaptive Behavior Scales. ROC curve, and accuracy was used to evaluate the models. Results: Among the models, the accuracy of 13 feature factors and 7 feature factors were above 0.9, the sensitivity was up to 0.927, the specificity was up to 0.936 and the AUC was up to 0.979. The accuracy, sensitivity, specificity and AUC of the model were 0.943,0.959,0.931 and 0.978 respectively. The fitting and generalization effects of the three models were all satisfactory. Conclusion A random forest model based on the SRS Scales and Vineland Adaptive Behavior Scales can be used to diagnose ASD accurately and provide scientific basis for the development of rapid screening and diagnosis tools.

ObjectiveTo investigate the efficacy and safety of Shengxiantang in the treatment of early Parkinson's disease with autonomic dysfunction of Qi deficiency pattern. MethodA total of 82 eligible patients were randomized into control group （41 cases） and traditional Chinese medicine （TCM） group （41 cases）. On the basis of standardized treatment of western medicine， TCM group was prescribed Shengxiantang while control group were treated with placebo for 12 consecutive weeks additionally. Scale for Outcomes in Parkinson's Disease-Autonomic （SCOPA-AUT） questionnaire， Unified Parkinson's Disease Rating Scale （UPDRS）， Traditional Chinese Medicine Qi Deficiency Symptom Score of Parkinson's Disease （TCMQDSSPD）， serum levels of glutathione peroxidase （GPx） and superoxide dismutase （SOD）， daily dosage of pramipexole and levodopa and benserazide hydrochloride， and safety index were evaluated both before and after treatment. ResultAfter treatment， the total score of SCOPA-AUT， gastrointestinal score， urinary score， and thermoregulatory score in the control group were higher than those before treatment （P<0.01）， while the above sores in the TCM group were lower than those before treatment （P<0.05， P<0.01）. In addition， the cardiovascular score， pupillomotor score， and sexual score in two groups showed no significant difference from those before treatment. After treatment， the total score of SCOPA-AUT， gastrointestinal score， urinary score， and thermoregulatory score in the TCM group were lower than those in the control group （P<0.05， P<0.01）， and cardiovascular score， pupillomotor score， and sexual score showed no significant difference between two groups. After treatment， the total score of TCMQDSSPD， main symptom scores， and minor symptom scores in the control group had no significant difference from those before treatment. The total score of TCMQDSSPD and minor symptom scores of TCM group were lower than those before treatment （P<0.01）， while the main symptom scores of the TCM group showed no significant difference from those before treatment. After treatment， the UPDRS score， serum GPx and SOD levels， and daily dosage of pramipexole and levodopa and benserazide hydrochloride demonstrated no significant difference from those before treatment in the two groups and between the two groups. No abnormality was found in the safety indexes. ConclusionBased on the standardized treatment of western medicine， Shengxiantang can effectively and safely improve the autonomic symptoms of gastrointestinal system， urinary system， and thermoregulation， as well as the symptoms of Qi deficiency syndrome in early Parkinson's disease with autonomic dysfunction.