| With the continuous development of human society and economic, especially the extension of human life, the degree of aging of the population even more serious in our country. Due to the elderly population is the high incidence of the disease, which will lead to nursing problems more prominent. At this stage, our country is in a stage which underdeveloped and long-term care system is not sound. Therefore, the establishment and improvement of long-term care system is imminent. Qingdao first establish long-term care system, which make up the gaps in long-term care system, but the operation and development of the system is still a lack of in-depth research. Along with the rapid development of informatization and data mining technology, under the booster of information management, scientific and effective data analysis and mining becomes feasible. This article taken from the Ministry of Education Philosophy and Social Science Project "The Research of Social Pension Service System", this article studies the long-term care system from the perspective of information technology. Identify problems and find the associated rule through statistical analysis and data mining about long-term care data. Then, make the establishment of long-term care system more perfect.This subject is belongs to cross-disciplinary research of the field of long-term care. First, Study the knowledge of long-term care by consulting literature and exchange to expert. Second, make a thorough analysis about support and influence of the informatization to the development of long-term care system. Then make a comprehensive summary for the data of long-term care system by the knowledge of statistical from a macro perspective. Finally, elaborate the role of data mining techniques to promote the construction of long-term care system. Using improved Apriori method to the field of long-term care from the micro point of view for the first time.Based on the research of long-term care and mining of data on the long-term care, Demonstrates the informatization brings positive effect to the long-term care; found the deficiencies of development of the long-term care system in the current; discovered hidden association rules between category of disease, ADL score and care type in the long-term care data. This will be provide data support for decision-making departments to the rational allocation of resources, optimize development direction of long-term care, improve system of long-term care and speed up the development process of our long-term care system. |
