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A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome
The evolution of the Exposome concept revolutionised the research in exposure assessment and epidemiology by introducing the need for a more holistic approach on the exploration of the relationship between the environment and disease. At the same time, further and more dramatic changes have also occ...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316260/ https://www.ncbi.nlm.nih.gov/pubmed/35886395 http://dx.doi.org/10.3390/ijerph19148544 |
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author | Schoene, Annika M. Basinas, Ioannis van Tongeren, Martie Ananiadou, Sophia |
author_facet | Schoene, Annika M. Basinas, Ioannis van Tongeren, Martie Ananiadou, Sophia |
author_sort | Schoene, Annika M. |
collection | PubMed |
description | The evolution of the Exposome concept revolutionised the research in exposure assessment and epidemiology by introducing the need for a more holistic approach on the exploration of the relationship between the environment and disease. At the same time, further and more dramatic changes have also occurred on the working environment, adding to the already existing dynamic nature of it. Natural Language Processing (NLP) refers to a collection of methods for identifying, reading, extracting and untimely transforming large collections of language. In this work, we aim to give an overview of how NLP has successfully been applied thus far in Exposome research. Methods: We conduct a literature search on PubMed, Scopus and Web of Science for scientific articles published between 2011 and 2021. We use both quantitative and qualitative methods to screen papers and provide insights into the inclusion and exclusion criteria. We outline our approach for article selection and provide an overview of our findings. This is followed by a more detailed insight into selected articles. Results: Overall, 6420 articles were screened for the suitability of this review, where we review 37 articles in depth. Finally, we discuss future avenues of research and outline challenges in existing work. Conclusions: Our results show that (i) there has been an increase in articles published that focus on applying NLP to exposure and epidemiology research, (ii) most work uses existing NLP tools and (iii) traditional machine learning is the most popular approach. |
format | Online Article Text |
id | pubmed-9316260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93162602022-07-27 A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome Schoene, Annika M. Basinas, Ioannis van Tongeren, Martie Ananiadou, Sophia Int J Environ Res Public Health Review The evolution of the Exposome concept revolutionised the research in exposure assessment and epidemiology by introducing the need for a more holistic approach on the exploration of the relationship between the environment and disease. At the same time, further and more dramatic changes have also occurred on the working environment, adding to the already existing dynamic nature of it. Natural Language Processing (NLP) refers to a collection of methods for identifying, reading, extracting and untimely transforming large collections of language. In this work, we aim to give an overview of how NLP has successfully been applied thus far in Exposome research. Methods: We conduct a literature search on PubMed, Scopus and Web of Science for scientific articles published between 2011 and 2021. We use both quantitative and qualitative methods to screen papers and provide insights into the inclusion and exclusion criteria. We outline our approach for article selection and provide an overview of our findings. This is followed by a more detailed insight into selected articles. Results: Overall, 6420 articles were screened for the suitability of this review, where we review 37 articles in depth. Finally, we discuss future avenues of research and outline challenges in existing work. Conclusions: Our results show that (i) there has been an increase in articles published that focus on applying NLP to exposure and epidemiology research, (ii) most work uses existing NLP tools and (iii) traditional machine learning is the most popular approach. MDPI 2022-07-13 /pmc/articles/PMC9316260/ /pubmed/35886395 http://dx.doi.org/10.3390/ijerph19148544 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Schoene, Annika M. Basinas, Ioannis van Tongeren, Martie Ananiadou, Sophia A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome |
title | A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome |
title_full | A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome |
title_fullStr | A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome |
title_full_unstemmed | A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome |
title_short | A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome |
title_sort | narrative literature review of natural language processing applied to the occupational exposome |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316260/ https://www.ncbi.nlm.nih.gov/pubmed/35886395 http://dx.doi.org/10.3390/ijerph19148544 |
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