Classification method for multivariable medical sensing data streams
A technology of sensing data and classification methods, applied in the computer field, can solve the problems of data noise, affecting the classification effect, large model scale, etc.
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[0071] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0072] The present invention focuses on the specific research on the classification of multi-variable medical sensor data streams, and uses deep learning technology to design a classification scheme suitable for multi-variable medical data streams collected by sensors, thereby further promoting the development of smart medical care in a modern society . The present invention proposes classification models that can be used in multivariate medical sensory data streams. First, a signature matrix is constructed, which can capture the correlation between various time series and can represent these time series, and it is also robust to noise; then, for individual imbalanced categories, we use an auxiliary classifier to generate Adversarial Networks (Au...
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