Application of Deep Learning in Predicting Medical Resource Usage and Consumption Data
This paper describes the use of a deep learning based model to predict the consumption and usage of medical resources by analyzing patients'personal characteristics,treatment records,and other relevant factors.From the results,the F1 score of the model is significantly better than the benchmark model,with the highest accuracy of 91％for important classification of daily hospital data,indicating that the model has certain practicality.
big data technologydata-drivendeep learninganalysis of medical resource consumptionhospital information management
万方数据
维普
