With the development of internet technology,a large number of online health data have emerged,but the quality of these data is uneven,and their reliability and readability need to be improved.How to evaluate the quality of online health data has become a practical problem that troubles medical staff and patients.The advanta-geous role of machine learning in massive data analysis provides the possibility for efficient evaluation of the quality of online health information.This paper reviewed the research progress of machine learning in the reliability and readability of online health data,and providedreference for writing accurate and readable health education materials.
关键词
机器学习/网络健康资料/质量/可靠性/可读性/综述
Key words
machine learning/online health data/quality/reliability/readability/review
维普
万方数据