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In this paper, appropriate and efficient networks for breast cancer knowledge discovery from clinically collected data sets are investigated. Invoking various data mining techniques, it is desired to find out the percentage of disease development, using the developed network. The results, help in choosing a reasonable treatment of the patient. Several neural network structures are evaluated for this...
An accelerometer-based motion sensing framework is developed for analyzing human motion (gait). In comparison to vision based motion sensing systems, this framework is extremely low in cost and weight, and is also portable to wide variety of places; even to the patient's personal room. On the other hand the device has minimum affect on the patient's normal motion. In this paper we will present the...
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