Mining symptom and disease web data with NLP and Open Linked Data
Authors
Yu, Hong QingAffiliation
University of BedfordshireIssue Date
2019-08-21
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Show full item recordAbstract
- Machine Learning (ML) technologies in recent years are widely applied in various areas to assist knowledge gaining and decision-making on healthcare. However, there is no reliable dataset that contains semantic structured knowledge on symptom and disease enable to apply advanced machine learning algorithms such clustering or prediction. In this paper, we propose a framework that can extract data from web with apply Natural Language Processing (NLP) process and semantic annotation to create Open Linked Data (OLD) basCitation
Yu H. (2019) 'Mining symptom and disease web data with NLP and Open Linked Data', The 5th World Congress on Electrical Engineering and Computer Systems and Sciences - Lisbon, Avestia Publishing.Publisher
Avestia PublishingType
Conference papers, meetings and proceedingsLanguage
enae974a485f413a2113503eed53cd6c53
10.11159/mvml19.108
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- Creative Commons
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/