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
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2016-08-24
Smart Images
Figure 1 Figure 2 Figure 3
Abstract
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...
Examples
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...