Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intelligent processing method and system for medical literature

An intelligent processing system and technology of medical literature, applied in the field of information retrieval, can solve the problems of evaluators who are prone to disagreement and low efficiency, and achieve the effect of eliminating disagreement and improving processing efficiency and accuracy

Inactive Publication Date: 2017-06-13
BEIJING INSTITUTE OF TECHNOLOGYGY +1
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current methods of processing medical literature are not only inefficient, but also prone to disagreement among reviewers

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
  • Intelligent processing method and system for medical literature
  • Intelligent processing method and system for medical literature
  • Intelligent processing method and system for medical literature

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] figure 1 It is a flow chart of the intelligent processing method for medical documents provided by Embodiment 1 of the present invention.

[0075] refer to figure 1 , the medical literature intelligent processing method includes the following steps:

[0076] Step S110, perform document screening in the database according to the research direction, obtain the first document information, and collect the first document information into the document pool;

[0077] Step S120, preprocessing the first document information in the document pool to obtain a document structured database, wherein the document structured database includes the second document information;

[0078] Step S130, establishing an artificial intelligence processing method by training the computer model;

[0079] Step S140, adopting an artificial intelligence processing method to perform evidence grading on the second document information, and obtain document evidence grading result information;

[0080]...

Embodiment 2

[0118] Figure 5 It is a schematic diagram of the medical document intelligent processing system provided by Embodiment 2 of the present invention.

[0119] refer to Figure 5 , the medical literature intelligent processing system includes a literature retrieval module 100, a preprocessing module 200, a training module 300, an artificial intelligence processing module 400, and a data collection and storage module 500;

[0120] The document retrieval module 100 is used to perform document screening in the database according to the research direction, obtain the first document information, and collect the first document information into the document pool;

[0121] The preprocessing module 200 is configured to preprocess the first document information in the document pool to obtain a document structured database, wherein the document structured database includes the second document information;

[0122] The training module 300 is to establish an artificial intelligence processi...

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 provides an intelligent processing method and system for medical literature and relates to the technical field of information retrieval. The intelligent processing method includes the steps of screening literature from a database according to research direction to acquire first literature information, collecting the first literature to a literature library, subjecting the first literature information of the literature library to preprocessing to acquire a literature structured library; training a computer models, creating an artificial intelligent processing method, subjecting second literature information of the literature structured library to evidence classification by the artificial intelligent processing method so as to acquire information of literature evidence classification results, and collecting the information of literature evidence classification results and saving the same to an evidence-based medical evidence database. The intelligent processing method and system for medical literature improves processing efficiency and accuracy of medical literature.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to a method and system for intelligent processing of medical documents. Background technique [0002] The core idea of ​​evidence-based medicine (Evidence-based medicine, EBM) is medical decision-making, that is, the treatment of patients, the formulation of treatment guidelines and medical policies, etc. Medical decisions should be made on the basis of the best existing clinical research. At the same time, it also attaches importance to the combination of personal clinical experience. Evidence is the cornerstone of evidence-based medicine, and following evidence is the essence of evidence-based medicine. It is the key to evidence-based medicine that clinical researchers and users should provide and apply the most reliable clinical research evidence as much as possible. [0003] The Grading of Recommendations Assessment, Development and Evaluation (GRADE) system is o...

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): G06F17/30
Inventor 汤海京杨旭
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products