Characterizing the scope of exposome research through topic modeling and ontology analysis

Guillermo Lopez-Campos; Philip Kiossoglou; Ann Borda; Christopher Hawthorne; Kathleen Gray; Karin Verspoor

doi:10.3233/SHTI190519

Characterizing the scope of exposome research through topic modeling and ontology analysis

Guillermo Lopez-Campos, Philip Kiossoglou, Ann Borda, Christopher Hawthorne, Kathleen Gray, Karin Verspoor

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

4 Citations (Scopus)

49 Downloads (Pure)

Abstract

Exposomics is a field of research which is receiving growing attention. In this work, we characterize the exposome research landscape and update our previous study of formal knowledge representation approaches to this field. We applied a deductive analysis using the National Center for Biomedical Ontology Recommender for comparability of the results generated from a literature dataset and newly available ontologies with our previously published work. We highlight the changes in ontology recommendations.

Original language	English
Title of host publication	MEDINFO 2019: Health and eellbeing e-networks for all
Editors	Lucila Ohno-Machado, Brigitte Séroussi
Publisher	IOS Press
Pages	1530-1531
Number of pages	2
ISBN (Electronic)	9781643680033
ISBN (Print)	9781643680026
DOIs	https://doi.org/10.3233/SHTI190519
Publication status	Published - 21 Aug 2019

Publication series

Name	Studies in Health Technology and Informatics
Volume	264
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

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10.3233/SHTI190519Licence: CC BY-NC

Characterizing the scope of exposome research through topic modeling and ontology analysis
Copyright 2019 International Medical Informatics Association (IMIA) and IOS Press. This is an open access Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits use, distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Final published version, 124 KBLicence: CC BY-NC

Investigation and development of novel exposome informatics methodologies and solutions for the analysis and integration of phenome, genome and exposome data
Hawthorne, C. (Author), Lopez Campos, G. (Supervisor), Simpson, D. (Supervisor) & Devereux, B. (Supervisor), Dec 2023
Student thesis: Doctoral Thesis › Doctor of Philosophy

Cite this

Lopez-Campos, G., Kiossoglou, P., Borda, A., Hawthorne, C., Gray, K., & Verspoor, K. (2019). Characterizing the scope of exposome research through topic modeling and ontology analysis. In L. Ohno-Machado, & B. Séroussi (Eds.), MEDINFO 2019: Health and eellbeing e-networks for all (pp. 1530-1531). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190519

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Lopez-Campos, G, Kiossoglou, P, Borda, A, Hawthorne, C, Gray, K & Verspoor, K 2019, Characterizing the scope of exposome research through topic modeling and ontology analysis. in L Ohno-Machado & B Séroussi (eds), MEDINFO 2019: Health and eellbeing e-networks for all. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 1530-1531. https://doi.org/10.3233/SHTI190519

Characterizing the scope of exposome research through topic modeling and ontology analysis. / Lopez-Campos, Guillermo; Kiossoglou, Philip; Borda, Ann et al.
MEDINFO 2019: Health and eellbeing e-networks for all. ed. / Lucila Ohno-Machado; Brigitte Séroussi. IOS Press, 2019. p. 1530-1531 (Studies in Health Technology and Informatics; Vol. 264).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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AU - Verspoor, Karin

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Characterizing the scope of exposome research through topic modeling and ontology analysis

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Student theses

Investigation and development of novel exposome informatics methodologies and solutions for the analysis and integration of phenome, genome and exposome data

Cite this