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

Graded diagnosis and treatment evaluating method based on data mining

A technology of hierarchical diagnosis and treatment and data mining, applied in the fields of medical data mining, electronic digital data processing, special data processing applications, etc., can solve the problems behind the lack of tracking indicators, misreporting and misreporting, etc., to improve timeliness and accuracy performance, reduce intermediaries, and evaluate overall effects

Active Publication Date: 2016-08-24
CHENGDU SHULIAN YIKANG TECH CO LTD
View PDF5 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the shortcomings of the current hierarchical diagnosis and treatment evaluation method that there are only quantitative indicators, the indicators need to be reported layer by layer, there are false reports in the reporting process, and there is no reason behind the lack of tracking indicators, and to provide a method that combines qualitative indicators and quantitative indicators. The evaluation method of hierarchical diagnosis and treatment makes the evaluation of hierarchical diagnosis and treatment more timely and accurate

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
  • Graded diagnosis and treatment evaluating method based on data mining
  • Graded diagnosis and treatment evaluating method based on data mining
  • Graded diagnosis and treatment evaluating method based on data mining

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0047] Such as figure 1 As shown, the hierarchical diagnosis and treatment evaluation method based on data mining includes the following sub-steps:

[0048] S1: Associating multidimensional data of patients, diseases, and hospital medical records;

[0049] S2: Preprocessing the associated multidimensional data of patients, diseases, and hospitals;

[0050] S3: Identify patients with different flow directions from medical record data;

[0051] S4: Calculate the patient's nature from the medical record data through the feature selection algorithm and classification algorithm, and perform qualitative evaluation;

[0052] S5: Quantitative numerical information is obtained based on medical record data, and quantitative evaluation is performed...

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 graded diagnosis and treatment evaluating method based on data mining. The method comprises the steps: extracting essential information and diagnosis and treatment information on patients from medical records, associating the essential information and the diagnosis and treatment information with disease category information and medical institution information, and firstly, carrying out data cleaning and missing value filling so as to divide the patients into patients of different flow directions; then, calculating graded diagnosis and treatment monitoring indexes by using the data; portraying visiting behaviors and features of different patients by a GainRatioAttributeEva feature selection algorithm and a RIPPER sorting algorithm. According to the method, through evaluating graded diagnosis and treatment by qualitative indexes and quantified indexes, the defects in the current graded diagnosis and treatment evaluating methods that only the quantified indexes exist, the indexes are required to be reported layer upon layer, mis-reporting and confused reporting occur during reporting, and the tracking of reasons behind the indexes is absent are overcome; by using a data mining technology, graded diagnosis and treatment evaluation is more timely and accurate.

Description

technical field [0001] The invention relates to a hierarchical diagnosis and treatment evaluation method based on data mining. Background technique [0002] In recent years, the phenomenon of "overcrowding" in large medical institutions and "crowdedness" in grassroots medical institutions has intensified. Promoting the hierarchical diagnosis and treatment system has become the top priority of medical reform. Hierarchical diagnosis and treatment are graded according to the severity of the disease and the difficulty of treatment. Medical institutions at different levels undertake the treatment of different diseases to achieve a reasonable allocation of medical resources. In September 2015, the General Office of the State Council issued the "Guiding Opinions on Promoting the Construction of a Hierarchical Diagnosis and Treatment System". The "Opinions" clearly stated that "to develop Internet-based medical and health services, give full play to the role of Internet, big data a...

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): G06F19/00
CPCG16H40/20G16H50/70
Inventor 付波龙虎李艳时琳周志洋邱航
Owner CHENGDU SHULIAN YIKANG TECH CO LTD
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