Vegetative nervous disorder prediction method and prediction system based on incremental neural network model
A technology for autonomic disorder and neural network model, which is applied in the medical field and can solve problems such as poor specificity, large deviation of value range, and inability of the server to complete training tasks in time.
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[0056] Such as figure 1 As shown, a kind of autonomic disorder prediction method based on incremental neural network model provided by the present invention comprises the following steps:
[0057] Step (1), obtaining the data source of etiology and pathology of autonomic disorders in the hospital and daily monitoring data of patients, so as to establish a daily data database of autonomic disorders;
[0058] Among them, the daily monitoring data is 21 items of data, and the 21 items of data are age, sex, heart rate, eating frequency, mental state, drinking frequency, weight, rash severity, body temperature, sleep time, smoking amount (daily), abdominal pain , daily walking distance, occupation, temperature, humidity, air quality index and other 21 items of data, the present invention establishes a 21-dimensional vector with 21 items of data;
[0059] Step (2), according to the autonomic disorder daily data database set up in step (1), the neural network model is trained in an ...
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