| In recent years,with the rapid development of computer and artificial intelligence,the application of artificial intelligence in medical field has been vigorously developed.In recent years,China has promulgated many relevant policies on "artificial intelligence + medical treatment",especially since 2015,it has repeatedly proposed to vigorously develop the model of "artificial intelligence + medical treatment + Internet" during the two sessions and the government report,which can be used to revitalize some traditional industries in China.In particular,the distribution of medical resources in China is uneven.In some two or three city cities,the demand for medical resources is huge.Internet plus artificial intelligence plus medical treatment can effectively alleviate this problem,especially for some relatively high entry barriers,artificial intelligence can play a very good role in medicine.With the development of society,there are more and more problems in the growth and development of teenagers and children in China.Bone age is an index that can well reflect the growth and development of teenagers and children,but for some third and fourth tier cities,bone age prediction is still not popular.Therefore,the mode of AI + Internet plus medical treatment can provide an effective reference for clinical diagnosis of bone age prediction by training large quantities of data and establishing an effective bone age prediction algorithm.Based on the above views,this thesis develops a juvenile bone age prediction system.The research content of this thesis mainly includes the following three thesis:（1）The DES encryption algorithm is optimized.In order to protect the privacy and information security of patients,the system uses DES algorithm to encrypt patient information,and puts forward two improvements according to the shortcomings of DES algorithm.On the one hand,the F-function process in DES algorithm is optimized,the exclusive or process of plaintext and key in F-function is changed from one exclusive or to four exclusive or,and a S-box in S-box is randomly replaced to disrupt the fixed S-box;On the other hand,aiming at the problem of short des key length,secondary encryption is proposed,which encrypts the same plaintext twice,so as to double the key length.（2）The height prediction method of teenagers is optimized.After predicting the bone age of patients,the system will use the predicted bone age of patients to predict the height of patients.At present,the mainstream method of height prediction is the BP method,but the data in the BP table can not reflect the local real situation.The BP table used in this thesis is generated by the hospital according to a large number of local data,which improves the accuracy of height prediction,and puts forward the segmented ratio method to further improve the accuracy.（3）Realize the adolescent bone age evaluation system.In the process of system development,it is mainly divided into server and client.The client is based on the Winform framework of C# language.The main work in the development process of customer service end is to layout the interface of the system,display user information and patient information,upload and receive data with the server,and test all functional controls.The server is based on the Springboot framework of Java language.The main work of the server development process is to create an interface to receive the client data,analyze and save the data,call the bone age algorithm to predict the bone age and height,and respond to the request of the client. |
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