Analysis of the Effect of Outpatient Nursing Intervention on Hypoglycemic Treatment Effect and Psychological Emotions of Diabetic Patients

Objective:To explore the effect of outpatient nursing interventions on the hypoglycemic treatment and psychological emotions of diabetic patients.Methods:148 patients who came to our hospital for outpatient treatment from February 2022 to October 2023 were selected and divided into a control group and an observation group,with 74 cases per group,according to the random number table method.The control group received routine nursing intervention,and the observation group received outpatient nursing intervention based on the control group.The two groups were observed for their effects of hypoglycemic treatment and psychological and emotional improvement before and after outpatient nursing intervention.Results:The health behavior scores of the control group were lower than that of the observation group;the post-intervention fasting blood glucose,2h postprandial blood glucose,anxiety self-rating scale(SAS),and the depression self-rating scale(SDS)of the control group were significantly higher than that of the observation group,and the difference was statistically significant(P<0.01).Conclusion:Outpatient nursing intervention encouraged patients to comply with healthy behaviors and helped control blood sugar levels.Patients’anxiety,depression,and other adverse psychological states were also improved hence the outpatient nursing intervention is worthy of further promotion.

Psychological Emotion Analysis System for Special Needs Children Based on Neural Network

With the development of modern society and the improvement of living standards,care for special needs children has been increasingly highlighted,and numerous corresponding measures such as welfare homes,special education schools,and youth care centers have emerged.Due to the lack of systematic emotional companionship,the mental health of special needs children are bound to be affected.Nowadays,emotional education,analysis,and evaluation are mostly done by psychologists and emotional analysts,and these measures are unpopular.Therefore,many researchers at home and abroad have focused on the solution of psychological issues and the psychological assessment and emotional analysis of such children in their daily lives.In this paper,a special children’s psychological emotional analysis based on neural network is proposed,where the system sends the voice information to a cloud platform through intelligent wearable devices.To ensure that the data collected are valid,a series of pretreatments such as Chinese word segmentation,de-emphasis,and so on are put into the neural network model.The model is based on the further research of transfer learning and Bi-GRU model,which can meet the needs of Chinese text sentiment analysis.The completion rate of the final model test has reached 97%,which means that it is ready for use.Finally,a web page is designed,which can evaluate and detect abnormal psychological state,and at the same time,a personal emotion database can also be established.