Method for generating traditional Chinese medicine prescription based on deep learning

A technology of face generation and deep learning, which is applied in the field of face generation of traditional Chinese medicine prescriptions based on deep learning, can solve the problem that the valuable experience of facial inspection cannot be preserved scientifically and quantitatively, achieve significant generation effects, save time, reduce The effect of time to diagnosis

Inactive Publication Date: 2019-07-09
SOUTH CHINA UNIV OF TECH
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Prescribing traditional Chinese medicine based on the human face in traditional Chinese medicine diagnosis has a certain degree of repetition, and the diagnostic value is greatly affected by the doctor's clinical experience, environmental factors such as light source, brightness and other subjective and objective factors, making the valuable experience of facial inspection unscientific. Quantitatively preserved

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for generating traditional Chinese medicine prescription based on deep learning
  • Method for generating traditional Chinese medicine prescription based on deep learning
  • Method for generating traditional Chinese medicine prescription based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0047] Such as figure 1 Shown is a flow chart of a method for generating traditional Chinese medicine prescriptions based on deep learning, and the specific steps include:

[0048] S1. Segment the patient's face image into images of three granularities: organ granularity, local area granularity, and human face granularity.

[0049] Specifically, a pixel matrix of three granular images is used to represent a patient's three-grained face, and a multi-label vector is used to represent a patient's traditional Chinese medicine prescription.

[0050] Furthermore, the three-grained human face consists of eight related human face images, which are respectively left eye image, right eye image, nose image, mouth image, left cheek image, right cheek image, chin image, and human face image . The relationship between the eight related face images and the three granular images is as follows: the image of the organ granularity includes the left eye image, the right eye image, the nose imag...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for generating a traditional Chinese medicine prescription based on deep learning. The method comprises the steps of segmenting the face image of a patient to images in three granularities: organ granularity, local area granularity and face granularity; dividing a dataset which is composed of a pixel matrix and a multi-label vector into a training dataset and a testing dataset; constructing a convolutional neural network model based on a three-granularity face; training the training dataset, performing training of iterating an adjusting parameter by multiple times for obtaining a neural network model with excellent performance; and inputting the pixel matrix of the testing dataset into the neural network model for generating the traditional Chinese medicineprescription. According to the method of the invention, prescription making experience of the traditional Chinese medicine can be learned from data; and the traditional Chinese medicine prescriptionwhich is required by the patient can be automatically generated according to the face image of the patient, thereby performing an auxiliary function on the inspection diagnosis operation of the traditional Chinese medicine, reducing repeated operations and performing quick and stable analysis on the face.

Description

technical field [0001] The invention relates to the field of computer applications, in particular to a method for generating traditional Chinese medicine prescriptions based on deep learning. Background technique [0002] Facial inspection is an important content of traditional Chinese medicine inspection and an important basis for diagnosis in traditional Chinese medicine. It is a simple and effective method to assist diagnosis and identification by observing the changes in the color and shape of the face. Facial inspection is a part of the essence of TCM theory for thousands of years, and it is part of the four diagnosis methods of "look, smell, ask, and feel" in TCM. A healthy person's face should be clean, ruddy and shiny. The face of a newborn baby is usually clean, but with the growth of the years and the influence of various factors such as air, water, food additives, environmental pollution, mental stress, etc., the health of the human body is damaged, and the face ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H20/10G06N3/04G06N3/08
CPCG16H50/20G16H20/10G06N3/08G06N3/045
Inventor 文贵华廖辉强
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products