Respiratory system disease outpatient quantity prediction method
A technology of respiratory diseases and prediction methods, applied in the field of time series prediction, can solve the problems of small or large predicted values, the inability to add weather and air pollution to the number of patients, and the difficulty of automatic modeling and prediction, etc., so as to be easy to promote and use , The effect of overcoming the shortcomings of single index input
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[0035] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these examples are only used to illustrate the present invention and not to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.
[0036] like figure 1 As shown, a method for predicting outpatient volume of respiratory diseases provided by the present invention comprises the following steps:
[0037] Step 1. Data information collection, including:
[0038] (1) Internal data collection of the hospital: The outpatient information of respiratory diseases is extracted from the hospital information system, and the outpatient visits are counted by day to obtain...
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