Preliminary Study Of Cardiac Functions Data Model By Ultrasound In Chronic Renal Failure

Objective:To study cardiac function and detect the key influencing factors and characteristic index of chronic renal failure patients by using data mining technologies be based on the theory of data mining getting patients basic information and clinical information from data database. Digging out the potential、useful informations between the impact of factors and cardiac function. To analyze the trend of the various indicators and get the dynamic changes of the heart function. To built the data model forecasting the change of the chronic renal failure function、interfere the cardiac complications as soon as possible.Offering the probable decision support for dynamically monitor、clinically treat and observe the treatment.Methods: 100 chronic renal failure patients were detected by conventional echocardiography from 2013.12 to 2015.2. Firstly, we measured the height、weight of subjects;Secondly, analyzed the cardiac configuration and function parameters and to check the basic information and clinical one of the patients,the database management tool is SQL Server 2008, the data mining tools is SQLServer2008 data mining module, To study the basic clinical information and left ventricular function of chronic renal failure patients,Dig out the potential and value informations between the impact of factors and cardiac function. To analyze the trend of the various indicators and get the dynamic changes of the heart function. To built the data model forecasting the change of the heart function of the chronic renal failure,interfere the cardiac complications as soon as possible.Offering the probable decision support for dynamically monitor、clinically treat and observe the treatment. To preliminary establish the easy mode reflecting the change of the left ventricular diastolic function of the chronic renal failure.Result: To establish the relational database of chronic renal failure patients about the basic information、clinical one and the data about cardiac configuration and function, And to convert the relational database to the transaction databases,Provided a way to analyze the left ventricular diastolic function factors and some associated measurement indicators about the chronic renal failure patients,We can know the cardiac function closely related to course of the disease、Ccr、high blood pressure levels、blood glucose by the association rule mining, The data mode as aided diagnosis system was design preliminary by data mining tools.Conclusion: Data mining technology can make full use of the large amount of medical information, which can timely and accurately predict the cardiac function to extract the valuable diagnostic rules, and has a certain practical significance of clinical aided diagnosis.