Medical data element automatic classification method and system based on depth map matching

A technology for medical data and classification methods, which can be used in other database clustering/classification, file management systems, and other database retrieval directions, and can solve problems such as maintenance difficulties and long data interface development time.

Active Publication Date: 2022-02-01
ZHEJIANG LAB
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] During the construction of the medical big data center, problems such as local data swamps in medical institutions generally exist, resulting in long data interface development time and difficult maintenance

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  • Medical data element automatic classification method and system based on depth map matching
  • Medical data element automatic classification method and system based on depth map matching
  • Medical data element automatic classification method and system based on depth map matching

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Embodiment Construction

[0075] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0076] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0077] The terms involved in the present invention are first described below:

[0078] Metadata: Data that describes other data. Metadata is data about data. Sometimes it does not specifically refer to a single data. It can be understood as a set of information groups / data groups used to describe data. All dat...

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Abstract

The invention discloses a medical data element automatic classification method and system based on depth map matching. A medical data element graph data model based on minimum metadata information is defined, and the effect of a depth map matching model is also suitable for the condition of local data marsh with extremely low metadata information; the purpose of completing automatic classification of data elements by using the least metadata information is achieved, and meanwhile it is guaranteed that graph structure data collected under the graph data model standard is suitable for training of a depth graph matching model; vector representation of medical data elements is calculated based on a representation learning method, and effective data elements possibly mapped to a standard data model are quickly and automatically screened through classification of the vector representation; and vector representation of column vertexes is calculated based on a graph attention mechanism, and a depth map matching model is constructed to complete automatic classification of medical data elements. The method and the system have good expansibility, and can be applied to processing of various data marsh-to-data lake conversion problems.

Description

technical field [0001] The invention belongs to the field of regional medical big data centers and data production platforms, and in particular relates to an automatic classification method and system for medical data elements based on depth map matching. Background technique [0002] With the construction and development of medical informatization, the combination of big data and medical services has promoted the continuous improvement of smart medical technology. At present, smart medical care has begun to take shape. Regional medical institutions form a medical consortium or a medical community and build a unified medical big data center, which has become an inevitable trend in the development of the subsequent smart medical data governance system. However, the information platforms, software, and systems with complex structures in different forms of medical institutions make it impossible to realize data sharing and interaction between different institutional platforms, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/906G06F16/901G06F16/93
CPCG06F16/906G06F16/9024G06F16/93
Inventor 李劲松辛然杨宗峰李玉格孙慧瑶周天舒田雨
Owner ZHEJIANG LAB
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