Outpatient quantity prediction method and system based on deep belief network

[0071] as attached figure 1 As shown, the outpatient volume prediction method based on deep belief network of the present invention is based on the restricted Boltzmann machine (RBM) and the mode of establishing the logistic regression layer, and utilizes the historical outpatient data of the hospital to carry out daily outpatient volume, weekly Prediction of outpatient volume and monthly outpatient volume to achieve more accurate and effective prediction of outpatient volume in hospitals at the current time; the specific steps are as follows:

[0072] S1. Constructing a Deep Belief Network (DBN): A Deep Belief Network (DBN) is formed based on multiple Restricted Boltzmann Machines (RBM), and the output of each layer of Restricted Boltzmann Machine (RBM) training It will be used as the input of the next layer of Restricted Boltzmann Machine (RBM) to form a Deep Belief Network (DBN), and the entire Deep Belief Network (DBN) will be used as a data feature extraction layer to extrac

[0105] The outpatient volume prediction system based on deep belief network of the present invention, the system includes,

[0106] Deep Belief Network (DBN) construction unit, used to form a Deep Belief Network (DBN) based on multiple Restricted Boltzmann Machines (RBM), each layer of Restricted Boltzmann Machine (RBM) trained The output will be used as the input of the next layer of Restricted Boltzmann Machine (RBM) to form a Deep Belief Network (DBN), and the entire Deep Belief Network (DBN) will be used as a data feature extraction layer to extract data features of historical outpatient visits; The bottom layer of the Deep Belief Network (DBN) is a Restricted Boltzmann Machine (RBM). The Restricted Boltzmann Machine (RBM) consists of a visible layer (data input layer) and a hidden layer (feature extraction layer). layer); wherein, the number of neurons in the visible layer is set to 6 (can be adjusted according to the actual situation), the number of neurons in the hidden la