Processing method and processing system for syndrome and prescription matching data

A technology for matching data and processing methods, which is applied in the field of data processing to achieve high-precision transmission and reduce compression loss.

Active Publication Date: 2022-08-05
深圳市圆道妙医科技有限公司
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The invention provides a processing method and processing system for syndrome and prescription matching data to solve existing problems

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  • Processing method and processing system for syndrome and prescription matching data
  • Processing method and processing system for syndrome and prescription matching data
  • Processing method and processing system for syndrome and prescription matching data

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Embodiment Construction

[0054]The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0055] Embodiments of a processing method and a processing system for matching data between syndromes and prescriptions of the present invention, such as figure 1 As shown, the method includes:

[0056] S1. Acquire multiple syndrome data in the historical data and the prescription data corresponding to the syndrome data, construct an initial auto-encoding neural network, and use the syndrome data and its corresponding prescription data...

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Abstract

The invention relates to the technical field of data processing, in particular to a syndrome and prescription matching data processing method and system, and the method comprises the steps: obtaining syndrome data and prescription data corresponding to the syndrome data, constructing an initial self-coding neural network, and carrying out the training; the method comprises the following steps: constructing a prescription matrix according to medicinal material types of prescription data, calculating the similarity of every two prescription data according to the prescription matrix, classifying the prescription data according to the similarity of every two prescription data and obtaining category centers, and calculating a first approximation degree value of each category and a second approximation degree value of every two category centers, the method comprises the following steps of: obtaining an initial self-encoding neural network, calculating a compression coefficient of each category, obtaining a reconstruction loss function according to the compression coefficients, obtaining a final loss function according to the reconstruction loss function, training the initial self-encoding neural network based on the final loss function, and realizing data transmission by utilizing the trained self-encoding neural network. And the data transmission precision is improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a processing method and processing system for matching data between syndromes and prescriptions. Background technique [0002] At present, TCM diagnosis is often based on one's own medical experience. For the same symptoms, different TCM prescriptions may be different. Moreover, TCM diagnosis is self-diagnosis. It is a self-contained system and lacks certain information communication and exchanges with other doctors. Therefore, through the big data statistics platform, doctors can learn from the prescriptions issued by other doctors in the history. [0003] However, doctors are constantly prescribing prescriptions every day, and a large amount of prescription data will lead to excessive pressure on information transmission within the system. When using traditional neural networks for data compression and transmission, the approximate prescription data will cause high comp...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H70/40G16H20/90G16H50/70G06N3/04G06F16/901G06F16/906H04L69/04
CPCG16H70/40G16H50/70G16H20/90G06F16/9024G06F16/906G06N3/04H04L69/04Y02A90/10
Inventor 叶展贺涛杨楚悦
Owner 深圳市圆道妙医科技有限公司
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