Research On The Heart Disease Prediction Method Based On Convolutional Neural Network

With the advancement of technology and the advancement of technology,the connection between the computer and the medical field has gradually become closer,solving many problems that were previously unanswerable.And with the acceleration of urbanization and the improvement of education,health issues are more concerned.As a first factor in the death of a high mortality disease and human death,heart disease has become increasingly problematic in its prediction.However,in the medical field,most of the computers and other devices are used for detection rather than prediction,and only the images are processed.The final conclusion requires doctor’s judgment.The doctor is at the key position of the entire analysis process,and the computer is just an support.Due to differences in the fields,knowledge,and personal experience of doctors,the outcome of disease judgment may be different,which can have serious consequences.Therefore,using advanced computer technology to predict it and then treat it as early as possible is of great practical significance for the irreparable consequences of heart disease.In order to improve the accuracy of disease prediction,this paper focuses on the combination of feature and convolutional neural network to carry out research on heart disease prediction methods.Firstly,combined with the relevant knowledge in the medical field,by monitoring the important indicators of certain cardiovascular diseases of patients,and using data processing technology to improve the data quality,a feature combination algorithm combining the one-dimensional vectors of traditional machine learning applications into a matrix form is proposed.The network structure predicts performance and enhances the performance of features.Then it discusses the influence of different types of parameters on the network structure,constructs and optimizes the heart disease prediction model,and provides reference for the prevention and treatment of heart disease.By comparing with the traditional algorithm,the superiority of a heart disease prediction method based on feature combination and convolutional neural network is verified.Help doctor judge whether the patient has heart disease or not,and if he has heart disease.Make the computer not only used for medical detection,but also for prediction,and better avoid human error.