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Mining symptom and disease web data with NLP and Open Linked Data

  • Hong Qing Yu
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Open access

Abstract

- 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) bas

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 21/08/2019

Publication status

Published - 21/08/2019

Publisher

Avestia Publishing, Canada

External Publication IDs

  • handle.net: 10547/623512

Host publication title

Proceedings of the 5th World Congress on Electrical Engineering and Computer Systems and Sciences (EECSS’19)

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