A medical data collection and analysis system

Abstract

The invention relates to a medical data collection and analysis method, comprising the following steps: 1. Uploading original data to a data platform; 2. Converting the original data into data in RDF format by using a semantic annotation algorithm based on a combination of conditional random fields and dependency grammar ; 3. Through the data mining algorithm, the RDF data of the same patient in the data processed in the previous step are associated and stored in the Hbase database based on the distributed file system; 4. Using statistical methods and machine learning methods to analyze the data in the Hbase database Analyze the data and draw the analysis conclusion; 5. Organize and classify the analysis conclusion, and construct the treatment plan knowledge base. The present invention collects the entire clinical diagnosis and treatment data of personnel in a targeted manner. By analyzing a large amount of data, it can make clinical auxiliary diagnosis, disease early warning and analyze the patient's behavior, which can help doctors formulate more effective, accurate and personalized customized treatment plan.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a medical data collection and analysis method and system. Background technique [0002] The data of previous patients cannot follow the patients, and it is not easy to follow up patients. The phenomenon of lost follow-up of domestic patients is very serious. This is the root cause of the slow start and progress of clinical trial research in my country. Chinese patients rank first in the world. However, clinical research is not ranked first in the world, because the data of patients is not saved, it is impossible to compare and analyze various surgical treatment methods, and it is impossible to provide effective data explanations, which seriously hinders the development of medical research and medical treatment. career development. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a medical data collection and analysis method...

AI Technical Summary

Problems solved by technology

[0002] The data of previous patients cannot follow the patients, and it is not easy to follow up patients. The phenomenon of lost follow-up of domestic patients is very serious. This is the root cause of the slow start and progress of clinical trial research in my country. Chinese patients rank first in the world. However, clinical research is not ranked first in the world, because the data of patients is not saved, it is impossible to compare and analyze various surgical treatment methods, and it is impossible to provide effective data explanations, which seriously hinders the development of medical research and medical treatment. career development

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