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In recent years, an increasing number of people have become concerned about their health. Most chronic diseases are related to lifestyle, and daily activity records can be used as an important indicator of health. Specifically, using advanced technology to automatically monitor actual activities can effectively prevent and manage chronic diseases. The data used in this paper were obtained from acceleration...
Named entity recognition (NER) is one of the fundamental tasks in natural language processing, with a high utilization value in the medical domain. The electronic discharge summary is a comprehensive clinical document, with the important legal effect especially in medical disputes, which contains patients' relevant information during hospitalization. Current main writing mode of electronic discharge...
Health management systems (HMS) have turned health management center into a network with huge storage so that health records, from different kinds of systems in hospital, can be shared. Based on this, variety of information about patients from different function modules can be inquired for further research. However, there is a lot of potential information which may be useful but still remain in original...
High and rapidly growing health-care costs pose a challenging problem around the world. Based on the fundamental realities of the country, China developed the single disease payment system. To overcome the drawbacks of a single payment standard, this study uses acute appendicitis as an example to build a decision-tree classification model and to propose a graded charging schedule. The study explored...
Repetitive transcranial magnetic stimulation (rTMS) is a high technology that uses the induced electromagnetic to diagnose and therapy disease. Although there are many researches working on distributing of magnetic and electric field, the static electric filed could be neglected or computed roughly. In this paper, a five-shell spherical model used on rTMS is presented. According to the different dielectric...
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