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Evaluation Method of Hierarchical Diagnosis and Treatment Based on Data Mining

A technology of hierarchical diagnosis and treatment and data mining, applied in the fields of medical data mining, medical care resources or facilities, computer-aided medical procedures, etc. Accuracy, Reduction of Intermediate Links, Evaluation of Overall Effectiveness

Active Publication Date: 2022-03-18
CHENGDU SHULIAN YIKANG TECH CO LTD
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  • 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

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  • Evaluation Method of Hierarchical Diagnosis and Treatment Based on Data Mining
  • Evaluation Method of Hierarchical Diagnosis and Treatment Based on Data Mining
  • Evaluation Method of Hierarchical Diagnosis and Treatment Based on Data Mining

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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...

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Abstract

The invention discloses a hierarchical diagnosis and treatment evaluation method based on data mining. This method extracts basic patient information and diagnosis and treatment information from medical records, and associates them with disease type information and medical institution information, first cleans the data and fills in missing values, and classifies patients in different flow directions; then uses this data to calculate hierarchical diagnosis and treatment monitoring indicators; Through the GainRatioAttributeEva feature selection algorithm and the RIPPER classification algorithm, the behavior and characteristics of different patients are described. The present invention evaluates the graded diagnosis and treatment through qualitative indicators and quantitative indicators, and overcomes the shortcomings of the current graded diagnosis and treatment evaluation method that there are only quantitative indicators, the indicators need to be reported layer by layer, there are misreporting and random reports in the reporting process, and there is no reason behind the lack of tracking indicators. And use data mining technology to make graded diagnosis and treatment evaluation 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. [0003] At present, the evaluation method of graded diagnosis and treatment in Sichuan Province is a combination of basic information evaluation and on-site inspection and evaluation. This monitoring and evaluation method based on "statistical summary and manual reporting" can only grasp the quantitative indi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H40/20G16H50/70
CPCG16H40/20G16H50/70
Inventor 付波龙虎李艳时琳周志洋邱航
Owner CHENGDU SHULIAN YIKANG TECH CO LTD
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