کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
553533 | 873514 | 2013 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A decision-making mechanism for context inference in pervasive healthcare environments A decision-making mechanism for context inference in pervasive healthcare environments](/preview/png/553533.png)
This paper presents a Fuzzy approach to health-monitoring of patients in pervasive computing environments. A decision model considers three classes of variables that represent the context information being collected: environmental, physiological, and behavioral. A case study of blood pressure monitoring was developed to identify critical situations based on medical knowledge. The solution maintains the interpretability of the decision rules, even after a learning phase which may propose adjustments in these rules. In this phase, the Fuzzy c-Means clustering was chosen to adjust membership functions, using the cluster centers. A medical team evaluated data from 24-h monitoring of 30 patients and the rating was compared with the results of the system. The proposed approach proved to be individualized, identifying critical events in patients with different levels of blood pressure with an accuracy of 90% and low number of false negatives.
Journal: Decision Support Systems - Volume 55, Issue 2, May 2013, Pages 528–537