Stroke is a critical health issue in China, and carotid artery stenosis and plaque play key roles in its prevalence. Despite the acknowledged significance of this condition, detailed information regarding the prevalence of carotid artery stenosis and plaque across the Chinese population has been scarce. This study analyzed data from the China Stroke High-risk Population Screening and Intervention Program for 2020-2021, focusing on 194 878 Chinese adults aged 40 years and above. It assessed the prevalence of carotid artery stenosis and plaque and identified their associated risk factors. Results revealed a standardized prevalence of 0.40% for carotid artery stenosis and 36.27% for carotid plaque. Notably, the highest rates of stenosis were observed in north and south China at 0.61%, while southwestern China exhibited the highest plaque prevalence at 43.17%. Key risk factors included older age, male gender, hypertension, diabetes, stroke, smoking, and atrial fibrillation. This study highlights significant geographical and demographic disparities in the prevalence of these conditions, underlining the urgent need for targeted interventions and policy reforms. These measures are essential for reducing the incidence of stroke and improving patient outcomes, addressing this significant health challenge in China.
Humans ; China/epidemiology* ; Male ; Female ; Prevalence ; Middle Aged ; Carotid Stenosis/epidemiology* ; Risk Factors ; Aged ; Adult ; Plaque, Atherosclerotic/epidemiology* ; Stroke/epidemiology* ; Aged, 80 and over

Purpose/Significance The paper systematically reviews relevant research on infectious disease prediction models based on internet data,helps to realize the advancement of infectious disease surveillance,and provides references for the construction of intelli-gent three-dimensional prevention and treatment system of infectious diseases.Method/Process The development history and research direction of infectious disease surveillance and early warning based on internet data collected in the core database of Web of Science and CNKI in the past 20 years are reviewed,major existing problems and challenges are analyzed,and common prediction models and their optimization directions are summarized.Result/Conclusion The study on internet infectious disease surveillance shows the trend of diver-sification of monitoring diseases,refinement and specialization of data sources.Due to the complexity and uncertainty of internet data,most of the existing models are only suitable for short-term or real-time prediction.By constructing a combination model,strengthening multi-source data fusion,improving the selection of keywords and influencing factors,the model can be further optimized and the fitting effect and prediction capacity can be strengthened.

Purpose/Significance To explore the construction pathway of an intelligent automation model tailored for primary health-care institutions,aiming to address the issue of repetitive reporting.Method/Process Through methods such as on-site investigations and expert consultations,a field study is conducted in primary healthcare institutions in Dongcheng District,Beijing.Utilizing information resource planning methods and data integration and mapping technologies,the business interactions and information flow within these in-stitutions are analyzed to investigate the construction pathway of an automated reporting model.Result/Conclusion The business flow and data flow are mapped out by the modeling process,a repository of relevant reporting indicators is organized,and a multi-source data au-tomatic mapping model and rules are developed.The study provides a feasible reference pathway for realizing intelligent reporting in pri-mary healthcare institutions.

Purpose/Significance To strengthen the construction of intelligent primary health information systems,and to provide ref-erences for improving the level of primary health services.Method/Process The paper systematically summarizes the current construction of primary health information systems at home and abroad,focuses on analyzing the current technical architectures and intelligent applica-tions of the existing systems,and puts forward improvement suggestions for the shortcomings in the construction mode,data connectivity and intelligent application.Result/Conclusion Countermeasures such as strengthening top-level design,promoting multi-source heter-ogeneous data fusion and strengthening intelligent applications are proposed to provide references for the construction of intelligent primary health information systems.

Purpose/Significance Based on big data,a cardiovascular and cerebrovascular electronic medical record(EMR)analy-sis platform is developed.By utilizing imaging data analysis techniques and clinical document analysis techniques,the platform provides patients with precise diagnosis,treatment plans,scientific administration,prognosis prediction,smart health education prescriptions and other precise services.Method/Process The medical ontology,knowledge rules and knowledge graph for cardiovascular and cerebrovas-cular diseases are developed and constructed by using Protégé.On the basis of constructing a knowledge graph,a knowledge base for clinical diagnosis,treatment,pathological analysis and prognosis judgment of cardiovascular and cerebrovascular diseases is formed.A EMR analysis platform for cardiovascular and cerebrovascular diseases is designed based on the knowledge base.Result/Conclusion The designed cardiovascular and cerebrovascular EMR analysis platform is conducive to providing personalized diagnosis and treatment plans for different populations,and providing patients with various precise diagnosis and treatment services.

The characteristics of public health teaching are discussed in this paper from the aspects of public health curriculum system and difficulties of public health curriculum. The application status of flipped classroom, MOOC, distance learning, online course, Elearning, UMU online education platform and other smart teaching methods in public health teaching are summarized. It is suggested that the level of smart public health teaching should be improved from the perspectives of learning autonomy, deep integration of teaching and technology and construction of smart classrooms.

From the perspective of management, the authors established an analysis framework for the option mechanism of this information system, and analyzed the option mechanism of the system in such aspects as organization and management, optional and maintenance management, resources management, and shared interactive management. It is held that a medical insurance information system is already established to cover both rural and urban residents in China, along with a comprehensive operation mechanism. However such a mechanism is still defective in terms of communication mechanism, investment and resources development. It is recommended to make up in terms of improving stakeholders coordination mechanism, building diversified investment and financing mechanism, enhancing data quality, as well as system promotion and application, data sharing and business synergy capabilities.

The classification of social capital involved in health information construction was proposed according to the connotation of social capital and health information construction, and the comprehensiveness, broadness, coop-erative variety, innovative technical application and good development situation of social capital involved in health information construction were dealt with.

Medical imaging plays a more important role in diagnosis and treatment of diseases with the rapid development of big data technologies and hospital information systems.It is thus quite necessary to develop the effective and accurate medical imaging retrieval systems.The key techniques for text-based, contents-based and semantic-based medical imaging retrieval methods were thus elaborated and analyzed with the prospects put forward for the future development direction of medical imaging retrieval techniques.

Clinical guidelines,coming into being with the development of evidence-based medicine,are of great significance in reducing medical malpractice and regulating medical behaviors.However,more effective and intelligent measures should be taken for their development and application due to their low utilization and poor compliance of doctors in their implementation.The emergence and structure of clinical guidelines were elaborated with related problems summarized.The knowledge expression models of digital clinical guidelines were analyzed and compared with the challenges faced by the current knowledge expression models of clinical guidelines pointed out.