Design of Disease Prediction Model Based on Medical Big Data Environment
In the context of the big data era,in order to extract valuable information from massive medical data and ensure the accuracy and reliability of doctor's disease diagnosis results,this article applies Big Data Mining technol-ogy to complete the construction of disease prediction models based on Medical Big Data.Firstly,Big Data Mining related technologies such as Decision Support,Data Mining,and Knowledge Discovery were introduced.Secondly,starting from three aspects:data integration and cleaning,data filling and dimensionality reduction,model construc-tion and evaluation,the construction of disease prediction model is completed.Finally,the effectiveness and reli-ability of the model proposed are verified.The results show that the model has achieved good predictive perfor-mance in medical disease datasets,with a prediction accuracy of 77.47%,providing important basis and reference for doctors to diagnose patient diseases.It is hoped to provide effective reference and guidance for relevant personnel through this study.
Medical big dataData miningDisease predictionModel design
万方数据
维普
