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

Hong Qing Yu

doi:10.11159/mvml19.108

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

Hong Qing Yu

Institute for Research in Applicable Computing (IRAC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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

Original language	English
Title of host publication	nan
Publisher	Avestia Publishing
DOIs	https://doi.org/10.11159/mvml19.108
Publication status	Published - 21 Aug 2019
Event	The 5th World Congress on Electrical Engineering and Computer Systems and Sciences - Lisbon Duration: 21 Aug 2019 → 23 Aug 2019 http://2019.eecss.org

Conference

Conference	The 5th World Congress on Electrical Engineering and Computer Systems and Sciences
City	Lisbon
Period	21/08/19 → 23/08/19
Other	The 5th World Congress on Electrical Engineering and Computer Systems and Sciences (21/08/2019-23/08/2019, Lisbon)
Internet address	http://2019.eecss.org

Keywords

Natural language processing
machine learning
semantic web

Access to Document

10.11159/mvml19.108

MVML19 Paper HongQingYu 108Accepted author manuscript, 907 KBLicence: CC BY-NC-ND

http://avestia.com/EECSS2019_Proceedings/files/paper/MVML/MVML_108.pdf

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title = "Mining symptom and disease web data with NLP and Open Linked Data",

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",

keywords = "Natural language processing, machine learning, semantic web",

author = "Yu, \{Hong Qing\}",

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language = "English",

booktitle = "nan",

publisher = "Avestia Publishing",

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note = "The 5th World Congress on Electrical Engineering and Computer Systems and Sciences ; Conference date: 21-08-2019 Through 23-08-2019",

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T1 - Mining symptom and disease web data with NLP and Open Linked Data

AU - Yu, Hong Qing

PY - 2019/8/21

Y1 - 2019/8/21

N2 - - 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

AB - - 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

KW - Natural language processing

KW - machine learning

KW - semantic web

U2 - 10.11159/mvml19.108

DO - 10.11159/mvml19.108

M3 - Conference contribution

BT - nan

PB - Avestia Publishing

T2 - The 5th World Congress on Electrical Engineering and Computer Systems and Sciences

Y2 - 21 August 2019 through 23 August 2019

ER -

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

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Conference

Keywords

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