Method for mining relationship between drug pairs and efficacy from prescription information

A prescription and efficacy technology, applied in the field of unsupervised training, forward network and interpretability theory, can solve the problem of lack of supervised data and other problems, and achieve the effect of avoiding result errors

Active Publication Date: 2020-05-19
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The technical difficulties involved include: 1. Lack of labeled supervised data, 2. How to prevent overfitting, 3. How to eliminate wrong predictions from training, 4. How to design models

Method used

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Embodiment Construction

[0045] The present invention will be described in further detail below in conjunction with specific examples.

[0046] A method of mining the relationship between efficacy and medicine pairs from prescription information of the present invention comprises the following steps:

[0047] Step 1. The prescription books are mainly based on the "Dictionary of Prescriptions". The Dictionary of Prescriptions contains authoritative prescriptions in a unified format, with a data volume of 10,000 levels, which meets the processing requirements; use OCR technology to process information such as "Dictionary of Prescriptions", Convert it into text information; use Python’s regular expression technology to establish prescription structured information extraction rules, extract and store prescription information such as mysql database, and the data table fields include: prescription name, prescription composition, prescription efficacy and indications, prescription usage, and prescription cont...

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Abstract

The invention discloses a method for mining a relationship between drug pairs and efficacy from prescription information. The method comprises the following steps: 1) collecting authoritative prescription information data, wherein the data comprises prescription efficacy major treatment information and traditional Chinese medicine composition information; 2) carrying out data cleaning and structuring to facilitate subsequent model training and information mining; and 3) establishing a data mining model, fitting samples, and learning parameters with high interpretability; and 4) obtaining interpretability parameters learned by the model, performing subsequent filtering processing, eliminating noise, reserving useful drug pair information, and mining the relationship between the drug pairs and the efficacy. A heuristic strategy is adopted for filtering, the association degree between the efficacy and the drug pairs is measured according to the efficacy prediction accuracy, and most of invalid relationships can be eliminated.

Description

technical field [0001] The invention relates to the fields of forward network and interpretability theory and unsupervised training in neural network. Specifically, it relates to a method for mining medicine pairs and efficacy from prescription information. Background technique [0002] Chinese prescriptions refer to medical prescriptions, prescriptions, ancient works, refer to adjustments, and prescriptions are prescriptions for curing diseases. In ancient China, a single drug was used to treat diseases very early. After long-term medical practice, he learned to combine several medicines and boil them to make a soup, which is the earliest prescription. Prescriptions contain the application relationship between traditional Chinese medicines and their efficacy. [0003] A drug pair is a combination of two different drugs. Different drug pairs have different application values. Mining the relationship between drug pairs and efficacy from prescriptions can help TCM experts a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/90G16H50/70G06F40/284G06N3/08
CPCG16H20/90G16H50/70G06N3/084Y02A90/10
Inventor 张引白宇
Owner ZHEJIANG UNIV
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