Medical experience summarizing model establishing method, medical experience summarizing model establishing device and data evaluation method
A model and medical technology, applied in the field of establishing medical experience summarization models, can solve the problems of a lot of manpower and material resources, little effect, lack of real-time and universal sharing, etc., to achieve the effect of summarizing and promoting medical progress.
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Embodiment 1
[0024] figure 1 It is a schematic flowchart of a method for establishing a medical experience summary model provided by Embodiment 1 of the present invention. Such as figure 1 As shown, the method of this embodiment can be executed by a device for establishing a medical experience summary model, which can be implemented by means of hardware and / or software, and generally can be independently configured in a server or be implemented by a terminal and a server in cooperation. Example method.
[0025] The method of this embodiment specifically includes:
[0026] S110. Train the preset generative model according to the target data in the historical medical record samples.
[0027] It is understandable that the samples of historical medical records include handwritten paper medical records and electronic historical medical records. Wherein, the target data in the historical medical record sample may include the target condition description recorded in the historical medical rec...
Embodiment 2
[0048] figure 2 It is a schematic flow chart of a method for establishing a medical experience summary model provided by Embodiment 2 of the present invention, such as figure 2 As shown, in this embodiment, on the basis of the above embodiments, it is optional to train the preset generative model according to the target data in the historical medical record samples, including: obtaining at least one target condition in the historical medical record samples description, and at least one target disease type corresponding to the disease description; and training a preset generative model according to the target disease description and the at least one target disease type.
[0049] On the basis of the above-mentioned technical solutions, optionally, the first forged data is generated according to the generative model after training, and the preset discriminator is used according to the target data and the first forged data. The training of the model further includes: inputting ...
Embodiment 3
[0072] image 3 It is a schematic flow chart of a method for establishing a medical experience summary model provided by Embodiment 3 of the present invention, such as image 3 As shown, in this embodiment, on the basis of the above embodiments, it is optional to train the preset generative model according to the target condition description and the at least one target disease type, including: using the target The disease description is input into the preset generative model, and at least one estimated disease type corresponding to the target disease description and the probability distribution of the estimated disease type are output; the estimated disease type is compared with the target disease type Comparing, adjusting the parameters of the generative model according to the comparison result.
[0073] On the basis of the above technical solutions, specifically, according to the target condition description and the target disease type, as well as the first falsified medica...
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