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Thanks to the ubiquitous computing, the scale of data collection in various fields has been growing rapidly. Medicine is one of the fields that can benefit from the big data. However, it is faced with a big challenge because medical datasets are normally in high dimensions. Therefore, reducing dimensionality and finding the optimal set of features or attributes is of great importance. This paper presents...
Activity recognition is mainly used in health care, authentication and many other fields. Activity recognition based on a smart watch usually performs much better than any other means of activity recognition in these areas. With its small size, high integration and multi-function, smart watch holds more advantages over the devices used in image based activity recognition, for example, a monitor, which...
There emerges an increasing need to mine and analyze the health data from smart home medical systems and community medical organizations. Regarding to the influence of irrelevant attributes, in this study, an improved C4.5 decision tree method based on RELIEFF attribute weighting techniques is proposed for medical diagnosis. This method includes two steps: the first step is to delete the irrelevant...
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