Text Mining on Season Differences of Medical Consultation - KingNet as an Example

碩士 === 國立臺北護理健康大學 === 資訊管理研究所 === 105 === Due to the rise of information intensive industry and the rapidly developing network technology, patients not only seek their advice from friends, families and doctors but also launch their question from the web site to try to retrieve the useful medical inf...

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Bibliographic Details
Main Authors: LIN, YUEH-SHIH, 林月詩
Other Authors: LIN, TUNG CHENG
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/49ae4x
Description
Summary:碩士 === 國立臺北護理健康大學 === 資訊管理研究所 === 105 === Due to the rise of information intensive industry and the rapidly developing network technology, patients not only seek their advice from friends, families and doctors but also launch their question from the web site to try to retrieve the useful medical information for early treatment. With different seasons and the prevalence of disease, symptoms vary and inquiry differs. Whether the contents of inquiry manifest the real differences is worth investigating. This research uses network Inquisition and KingNet national online consultation in which physicians provide medical advice. Web crawls, Words segmentation are utilized while sorting out the main seasonal diagnosis of illnesses and medical advice for the keywords. Based on the information we make use of the assistance range that KingNet Web Hospital provides and address to the related suggestions. By crawling information from 2010 to 2016, a total of 7,251 text documents are obtained. Through frequency and Chi-square analysis, it is suggested that with the difference of seasonal keywords there will be significant impacts on the occurrence of seasonal disease.