Zhu Xiaoxiao, Qian Aibing. Analysis of Network Attention Characteristics of Breast Cancer Prevention and Treatment Health Information Based on Baidu Index. 2020. biomedRxiv.201906.00001
Analysis of Network Attention Characteristics of Breast Cancer Prevention and Treatment Health Information Based on Baidu Index
Corresponding author: Qian Aibing, zhuxxnzy@163.com
DOI: 10.12201/bmr.201906.00001
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Abstract: Collect the search index and media index of the theme of “breast cancer” based on Baidu Index. Use data mining and word frequency statistics to analyze the characteristics of netizens and media. Clarify public health information requirement based on the related words and headlines topic. The results show that the netizens attend to the early symptoms and prognosis of breast cancer, and the attention increases with the incidence of breast cancer. The incidence or mortality of breast cancer in high search index areas is higher and high-risk female groups are more concerned about breast health. The media publish headlines related to breast cancer pathogenic factors, treatment methods and preventive health care. Media reports are related to the breakthrough progress in breast cancer prevention and treatment.
Key words: Breast Cancer; health information; Baidu Index; information requirementSubmit time: 7 December 2020
Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity. -
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