RESUMO
Objective To compare the clinical effect of different doses of methylprednisolone in the treatment of children with severe hand foot mouth disease research and analysis. Methods 100 patients in our hospital from January 2014 to August 2016 were selected and randomly divided into the control group and the experimental group, with 50 patients in each group. The control group were treated with small doses of methylprednisolone, 2 mg/ (kg?d), intravenous injection. The experimental group was treated with large dose of methylprednisolone, 10～15 mg/(kg?d) intravenous infusion. The therapeutic effects of the experimental group and the control group were compared and analyzed. Results after the corresponding treatment, the number of adverse reactions in the experimental group was 31, the adverse reaction rate was 62.0％, and the adverse reaction rate in the control group was 60.0％. There was no significant difference in the incidence of adverse reactions between the two groups. The upper respiratory rate and critical illness in the experimental group were 26.0％ and 32.0％, significantly lower than that of the control group (P<0.05). The average remission time of the patients in the experimental group was (2.19±1.01) days. The symptomatic remission time in the control group was (4.19±1.89) days. The remission time of the control group was significantly longer than that of the experimental group, with statistical difference (P<0.05). Conclusion The short term large dose of methylprednisolone in treatment of children with severe HFMD clinical effect is ideal, can be reduced to critical illness rate, less symptom remission time, with the further promotion of the clinical significance.
RESUMO
Objective To determine the influencing factors of post-stroke depression by machine learning.Methods Stroke patients' medical records (688 cases eligible) were extracted from record system,including age,gender,pulse manifestation,complexion,tongue quality,fur,Chinese medicine intervention,body mass index (BMI),blood pressure,blood glucose,blood triglyceride,blood total cholesterol,smoking history,drinking history,depression family history,stroke lesion site in imaging,as well as the final depression judgment.Single rule algorithm (1R) was adopted to learn.The risk factors influencing post-stroke patients' depression in extracted information were determined.Then the cases collected were divided into the training dataset (500 cases) and the test dataset (188cases).Optimal discriminant results were obtained by random forest model.Results Single rule algorithm showed that the most important influencing factor of post-stroke depression was stroke lesion site.By computer speculation,stroke lesions in the frontal and temporal lobes were most prone to post-stroke depression.Basal ganglia,brain stem,cerebellum,medulla oblongata and occipital lobe lesions were less likely to cause depression.The accurate classification rate could amount to 88.95％ (612/688 cases).Random forest model determination was made in the former 500cases in the training dataset.The total correct rate of determining depression was 98.2％.The total correct rate of determination in 188 cases of the test dataset was 99.47％.Six hundred and eighty-eight patients' data were learnt by random forest model.The total correct rate was 98.84％.The importance measure results showed that top 3 important indexes of post-stroke depression were lesion site,Chinese medicine intervention and depression family history.Conclusion Patients with lesions in the frontal & temporal lobes and depression family history were most prone to post-stroke depression.