Abstract
BackgroundToday,. most people use the Internet to seek online health-related information from general public health-related websites and discussion groups. However, there are no Internet-based analyses of health information needs pertaining to diabetes in China until now. With the development of artificial intelligence,we can analyzed these online health-related information and provide references for health providers to improve their health service.MethodsWe have done a study of statistically analyzing the questions about diabetes collected from 39 health website, the number of which is 151,589. We have divided these questions into 9 categories using a convolutional neural network.ResultsThe diabetes problems of consumer are presented as follows, diagnosis: 34.95%, treatment: 25.17%, lifestyle: 21.09%, complication: 8.00%, maternity-related:5.00%, prognosis: 2.59%, health provider choosing: 1.40%, prevention: 1.23%, others: 0.58%, The elderly are more concerned about the treatment and complications of diabetes, while the young are more concerned about the maternity-related and prognosis of diabetes. The diabetes drugs most frequently mentioned by consumers are insulin, metformin and Xiaoke pills, The most concerned complication is caidiovascular disease and diabetic eye disease.ConclusionDiabetes health education should focus on how to prevent diabetes and the contents of health education should be different for differernt age groups;on diabetes treatment, the use of insulin and oral hypoglycemic drugs education should be strengthened.
Highlights
Today,. most people use the Internet to seek online health-related information from general public health-related websites and discussion groups
Classification of diabetes-related questions According to previous classification protocol [18,19,20,21], together with the specific characteristics of diabetes, all diabetes-related questions are classified into 9 categories, including diagnosis, treatment, lifestyle, complication, maternity-related problem, prognosis, health provider selection, prevention and others
Convolutional neural network (CNN) performance We have annotated 3000 questions in total by means of the annotation and training strategy mentioned in the method section
Summary
Today,. most people use the Internet to seek online health-related information from general public health-related websites and discussion groups. Most people use the Internet to seek online health-related information from general public health-related websites and discussion groups. There are no Internet-based analyses of health information needs pertaining to diabetes in China until now. As one of the world’s most prevalent diseases, diabetes is an expanding global health problem [2]. During the past 30 years, the prevalence of diabetes has shown a dramatic rise in China, with less than 1% in 1980, 5.5% in 2001, 9.7% in 2008, and 10.9% in 2013 [8,9,10,11,12]. Diabetes is widely accepted as a big challenge for China in the twenty-first century, which has the greatest prevalence as well as the largest absolute disease burden of diabetes in the world [13]
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