Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development
BackgroundThe incidence of diabetes is increasing in China, and its impact on national health cannot be ignored. Smart medicine is a medical model that uses technology to assist the diagnosis and treatment of disease. ObjectiveThe aim of this paper was to apply ar...
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2020-05-01
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| Series: | JMIR Medical Informatics |
| Online Access: | http://medinform.jmir.org/2020/5/e18682/ |
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doaj-6e0a36f25e484d9cbfcb7a78a43e76922021-05-03T04:35:24ZengJMIR PublicationsJMIR Medical Informatics2291-96942020-05-0185e1868210.2196/18682Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model DevelopmentLiu, Yue BackgroundThe incidence of diabetes is increasing in China, and its impact on national health cannot be ignored. Smart medicine is a medical model that uses technology to assist the diagnosis and treatment of disease. ObjectiveThe aim of this paper was to apply artificial intelligence (AI) in the diagnosis of diabetes. MethodsWe established an AI diagnostic model in the MATLAB software platform based on a backpropagation neural network by collecting data for the cases of integration and extraction and selecting an input feature vector. Based on this diagnostic model, using an intelligent combination of the LabVIEW development platform and the MATLAB software-designed diabetes diagnosis system with user data, we called the neural network diagnostic module to correctly diagnose diabetes. ResultsCompared to conventional diagnostic procedures, the system can effectively improve diagnostic efficiency and save time for physicians. ConclusionsThe development of AI applications has utility to aid diabetes diagnosis.http://medinform.jmir.org/2020/5/e18682/ |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Liu, Yue |
| spellingShingle |
Liu, Yue Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development JMIR Medical Informatics |
| author_facet |
Liu, Yue |
| author_sort |
Liu, Yue |
| title |
Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development |
| title_short |
Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development |
| title_full |
Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development |
| title_fullStr |
Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development |
| title_full_unstemmed |
Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development |
| title_sort |
artificial intelligence–based neural network for the diagnosis of diabetes: model development |
| publisher |
JMIR Publications |
| series |
JMIR Medical Informatics |
| issn |
2291-9694 |
| publishDate |
2020-05-01 |
| description |
BackgroundThe incidence of diabetes is increasing in China, and its impact on national health cannot be ignored. Smart medicine is a medical model that uses technology to assist the diagnosis and treatment of disease.
ObjectiveThe aim of this paper was to apply artificial intelligence (AI) in the diagnosis of diabetes.
MethodsWe established an AI diagnostic model in the MATLAB software platform based on a backpropagation neural network by collecting data for the cases of integration and extraction and selecting an input feature vector. Based on this diagnostic model, using an intelligent combination of the LabVIEW development platform and the MATLAB software-designed diabetes diagnosis system with user data, we called the neural network diagnostic module to correctly diagnose diabetes.
ResultsCompared to conventional diagnostic procedures, the system can effectively improve diagnostic efficiency and save time for physicians.
ConclusionsThe development of AI applications has utility to aid diabetes diagnosis. |
| url |
http://medinform.jmir.org/2020/5/e18682/ |
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AT liuyue artificialintelligencebasedneuralnetworkforthediagnosisofdiabetesmodeldevelopment |
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