Clinical pathway mining method based on body and topic model

Abstract

The invention provides a clinical pathway mining method based on a body and a topic model. A clinical pathway conforming to the reality of a hospital is finally obtained according to given real charging data of the hospital and through five-stage processing containing data preprocessing, semantic approximate processing, topic clustering, topic sequence processing and clinical pathway mining. By using the clinical pathway mining method based on the body and the topic model, the clinical pathway of disease diagnosis and treatment, which conforms to the real situation of the hospital, can be obtained by starting from the real charging data of the hospital and through a series of data processing, so as to assist in making the clinical pathway conforming to the reality of the hospital; compared with manual making, the method is higher in efficiency and is moreover more objective and comprehensive.

Description

technical field [0001] The invention belongs to the field of computer data mining, in particular to a clinical path mining method based on an ontology and a theme model. Background technique [0002] The clinical path shows how the diagnosis and treatment of diseases are carried out step by step, reflects how doctors and nurses work together to carry out disease diagnosis and treatment, and also reflects how various medical resources are consumed step by step. Clinical pathway management can standardize the diagnosis and treatment process of diseases, improve medical quality, improve patient satisfaction, and effectively control the consumption of medical resources and the increase of medical expenses. [0003] Although clinical pathway management has received widespread attention from countries all over the world, the practical effect is not satisfactory. A literature survey of the practice of clinical pathways in 23 countries shows that the proportion of patients entering...

AI Technical Summary

Problems solved by technology

[0005] (1) The speed is slow, and it requires full communication and discussion among professionals from various disciplines to formulate a practical clinical pathway; the current national standard only gives clinical pathways for more than 300 diseases, while the ICD-10 diseases widely used in my country There are more than 10,000 types of codes. If we consider the combination of coexisting diseases and complications, the number of diseases is very large. It is time-consuming and labor-intensive to rely on the expert group to discuss and determine;

[0006] (2) Updates are not timely, new drugs, new technologies, new solutions, and new evidence are constantly emerging, and artificial research cannot be updated in time;

[0007] (3) It is easy to make mistakes, because the diagnosis and treatment of diseases are complicated, and some considerations of the situation are easily missed in artificial research

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