Physical examination information distribution to distribution objects with workload information and matching model

A method for distributing physical examination information, comprising:

• obtaining physical examination information and information of a plurality of distribution objects, the physical examination information comprising abnormal physical examination information and workload information of the physical examination information, and the information of the plurality of distribution objects comprising specialty information and workload information of the plurality of distribution objects;
• inputting the physical examination information and the information of the plurality of distribution objects into an information matching model obtained by pre-training to obtain a matching degree between the physical examination information and the plurality of distribution objects, wherein the information matching model is configured to calculate the matching degree between the physical examination information and the plurality of distribution objects according to the abnormal physical examination information, the workload information of the physical examination information, and the specialty information and the workload information of the plurality of distribution objects;
• and
• determining a target distribution object from the plurality of distribution objects according to the matching degree between the physical examination information and each of the plurality of distribution objects, and distributing the physical examination information to the target distribution object;
• wherein before the step of inputting the physical examination information and the information of the plurality of distribution objects into an information matching model obtained by pre-training to obtain a matching degree between the physical examination information and the plurality of distribution objects, the method further comprises:
• obtaining a plurality of training sample pairs, each of the plurality of training sample pairs being a first sample pair or a second sample pair, the first sample pair comprising sample physical examination information and information of a first sample distribution object, the second sample pair comprising the sample physical examination information and information of a second sample distribution object, wherein the matching degree of the first sample pair is greater than that of the second sample pair, the sample physical examination information comprises abnormal sample physical examination information, information of a sample distribution object comprises specialty information of the sample distribution object, and the sample distribution object is the first sample distribution object or the second sample distribution object;
• inputting the training sample pair into a model to be trained to obtain the matching degree of the training sample pair;
• and
• training the model to be trained according to the matching degree of the first sample pair, the matching degree of the second sample pair, workload information of the sample physical examination information, and workload information of each of the sample distribution objects, to determine the model to be trained after training as the information matching model.

An electronic device, comprising:

• a processor, and
• a memory configured to store instructions executable by the processor;
• wherein the processor is configured to execute the instructions to implement the operations comprising:
• obtaining physical examination information and information of a plurality of distribution objects, the physical examination information comprising abnormal physical examination information and workload information of the physical examination information, and the information of the plurality of distribution objects comprising specialty information and workload information of the plurality of distribution objects;
• inputting the physical examination information and the information of the plurality of distribution objects into an information matching model obtained by pre-training to obtain a matching degree between the physical examination information and the plurality of distribution objects, wherein the information matching model is configured to calculate the matching degree between the physical examination information and the plurality of distribution objects according to the abnormal physical examination information, the workload information of the physical examination information, and the specialty information and the workload information of the plurality of distribution objects;
• and
• determining a target distribution object from the plurality of distribution objects according to the matching degree between the physical examination information and each of the plurality of distribution objects, and distributing the physical examination information to the target distribution object;
• wherein the information matching model comprises a semantic vector model and a vector matching model, and the operation of inputting the physical examination information and the information of the plurality of distribution objects into an information matching model obtained by pre-training to obtain a matching degree between the physical examination information and the plurality of distribution objects comprises:
• inputting the physical examination information and the information of the plurality of distribution objects into the semantic vector model to output a first vector;
• and
• inputting the first vector into the vector matching model to output the matching degree between the physical examination information and the plurality of distribution objects;
• wherein the operation of inputting the first vector into the vector matching model to output the matching degree between the physical examination information and the plurality of distribution objects comprises:
• calculating, by the vector matching model, the matching degree between the physical examination information and the plurality of distribution objects based on a formula as below:
• score=W2Tσ(W1V[cls]+b1), wherein the score represents the matching degree between the physical examination information and the plurality of distribution objects, the V[cls] represents the first vector, the W1 represents a first mapping matrix of the vector matching model, and the W2T represents a transposition of a second mapping matrix W2 of the vector matching model, the b1 represents a bias matrix of the vector matching model, and the o represents an activation function of the vector matching model.