An integrated web-based system for MEDLINE analysis: A case study of chronic kidney disease

Yi Ling Lin, Wei En Huang, Peir In Liang, Chun Wei Tung

研究成果: 書貢獻/報告類型會議貢獻

摘要

In the era of big data, medical researchers attempt to utilize some analysis techniques like machine learning and text mining on their large-scale corpora to save valuable labor work and time. Consequently, many data analysis platforms are built to support medical professionals such as Pubtator, GeneWays, BioContext, etc. These platforms are helpful to medical entities recognition and relation extraction, but there is not an integrated platform to support researchers' various needs, and medical projects are isolated from each other, which is hard to be shared and reused. As a result, we present an integrated system containing 'name entity recognition', 'document categorization' and 'association extraction'. Besides, we add the concept of 'socialization' making projects reusable for further analyses. A case study of chronic kidney disease was adopted to indicate the effectiveness of the proposed system.

原文英語
主出版物標題Proceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society
主出版物子標題Are We Ready?, PACIS 2018
編輯Motonari Tanabu, Dai Senoo
發行者Association for Information Systems
ISBN(電子)9784902590838
出版狀態已發佈 - 2018
事件22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018 - Yokohama, 日本
持續時間: 六月 26 2018六月 30 2018

出版系列

名字Proceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018

會議

會議22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018
國家日本
城市Yokohama
期間6/26/186/30/18

ASJC Scopus subject areas

  • Information Systems

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