Hypertension and its related complications could be a major threat issue for cardiopathy and stroke. Effective prevention and control can decrease the incidence rate of complications in hypertension. Based on the medical data of 3062 patients with cardiovascular and cerebrovascular diseases from 2017 to 2018 in a grade-A tertiary hospital in Shanghai, the study identified the risk factors of hypertension complications by text mining. On this basis, the K2 algorithm based on the improved particle swarm optimization was proposed to optimize the structure of the Bayesian network (BN) by establishing a multi-population cooperative search mechanism. Then the optimized BN was used to analyze and predict the incidence rate of hypertension complications. Results indicate that the major indicators of accuracy, sensitivity, specificity, and AUC have been improved, and the proposed algorithm is superior to the common data mining algorithms such as the back propagation neural network and the decision tree. Through the proposed model and algorithm, the high-risk factors were identified and the occurrence probability of hypertension complications was predicted, which could provide the personalized health management guidance for hypertensive patients to prevent and control hypertension complications.
ABSTRACTThis study aimed to provide a national profile of homebound and semi-homebound older adults with depressive symptoms and to compare risk factors of depressive symptoms by homebound status. A sample of 1,885 homebound and semi-homebound older adults was selected from Round 1 of the National Health and Aging Trends Study (NHATS). The prevalence of depressive symptoms was 43.9% in homebound older adults and 28.1% in semi-homebound older adults, representing over 830,000 and 1.4 million individuals in the population, respectively. Nearly two-thirds of homebound and over half of semi-homebound older adults with clinically significant depressive symptoms also had significant anxiety symptoms. Results from logistic regression showed that younger age, certain medical morbidities, severity of functional limitations, and pain were common risk factors for depressive symptoms among homebound and semi-homebound older adults. Some differences in the risk factor profile emerged between the homebound and the semi-homebound populations. Alleviating the burden of depression in the semi-homebound population may focus on early prevention that considers the diversity of this population. Home-based, integrated programs of health and mental health services that simultaneously address the medical, psychiatric, and neurologic comorbidities and disabilities of homebound older adults are needed to meet the complex needs of this population. 相似文献
