The results suggest that noninvasive self-assessment of a combination of joint symptoms, limitations of daily activities, and walking ability can adequately predict disease activity of RA with a smartphone application.
The results of this feasibility study indicated that the DAS28 predictive model can longitudinally predict DAS28 and may be an acceptable and useful tool for assessment of RA disease activity for both patients and healthcare providers.
In this paper, we report the development of a lifelog sharing system for rheumatoid arthritis patients. Our system can objectively assess patients' condition from day to day via their smartphone use. We conducted a field experiment to investigate the feasibility of lifelog collection and sharing. The rate of patient assessment is very high. The system collects daily change in patients' activity as influenced by the disease.
Dowex 1X4 and Dowex 1X8 as substitute of Diaion MA03SS in simulated moving bed chromatographic separation of sulfuric acid and sugars in concentrated sulfuric acid hydrolysates of bamboo
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