Optimization method, training method, model, processing device and storage medium
A technology for training models and models, which is applied in the field of intelligent processing of medical data and can solve problems such as inconsistent labeling
Pending Publication Date: 2021-04-23
HANGZHOU YITU MEDIAL TECH CO LTD
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] The present disclosure intends to provide a method for optimizing a training model data set, a method for training a model, a model, a processing device, and a computer-readable storage medium, which can optimize the labeling accuracy of medical data through iterative training algorithm models, and solve the problem of labeling inconsistencies
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0057]In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings of the embodiments of the present disclosure. Apparently, the described embodiments are some of the embodiments of the present disclosure, not all of them. Based on the described embodiments of the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative effort fall within the protection scope of the present disclosure.
[0058] Unless otherwise defined, the technical terms or scientific terms used in the present disclosure shall have the usual meanings understood by those skilled in the art to which the present disclosure belongs. "Comprising" or "comprising" and similar words mean that the elements or items appearing before the word include the elements or...
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
Login to View More Abstract
The invention relates to a method for optimizing a training model data set, a method for training a model, the model, a processing device and a computer readable storage medium. The method comprises the steps: respectively inputting first labeling medical data and second labeling medical data into an algorithm classification model, and respectively obtaining a first deduction result and a second deduction result; based on the first deduction result and / or the second deduction result, obtaining an optimized training model data set or reconstructing a training data set for training a model, wherein a first annotation result of the first annotation medical data is obtained from a standard medical information table, the second annotation result of the second annotation medical data is selected based on the text similarity between the original text and the standard words in the standard medical information table, and the second annotation result is different from the first annotation result. According to the embodiments of the invention, the labeling accuracy of the medical data can be optimized by iteratively training the algorithm model, and the problem of inconsistent labeling is solved.
Description
technical field [0001] The present disclosure relates to the technical field of medical data intelligent processing, and in particular to a method for optimizing a training model data set, a method for training a model, a model, a processing device, and a computer-readable storage medium. Background technique [0002] In the prior art, it is necessary to perform corresponding model training based on labeled medical data, so as to perform various data processing and analysis. In difficult labeling scenarios, some labeling errors may occur due to the different levels of labelers or carelessness. Although based on the assumption that the level of labelers is generally high, the proportion of labeling errors is relatively small in theory. Inconsistencies in labeling. Contents of the invention [0003] The present disclosure intends to provide a method for optimizing a training model data set, a method for training a model, a model, a processing device, and a computer-readable...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G06F40/194G06K9/62
CPCG16H50/70G06F40/194G06F18/24G06F18/214
Inventor 郑永升周世正梁平
Owner HANGZHOU YITU MEDIAL TECH CO LTD