Research on Algorithm for Quality Control of Dental Outpatient Medical Records
The classification of dental outpatient medical record data can effectively improve the level of medical and health services and quality control of medical records,making the work of physicians more efficient.To solve the classification problem of dental outpatient medical record data and the low efficiency of medical record quality control,this paper proposes an algorithm for constructing a variable basis width neural network model.Firstly,manifold analysis method is used to classify the medical records of dentists.And the similarity matrix was modified using an indexing method,while data from oral patients treated with wound dressings were collected as test data.The accuracy,convergence time,and classification accuracy were compared.The experimental results show that the classification accuracy of the Radial basis function neural network classification algorithm is 98%,and the average classification accuracy is more than 5%higher than other methods.The algorithm can improve the classification accuracy and Rate of convergence of the dental outpatient medical record data sample set,and improve the quality control efficiency of medical records.
oral cavityOutpatient medical recordsQuality ControlAlgorithm
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