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Advances in Text Mining and Visualization for Precision Medicine

According to the National Institutes of Health (NIH), precision medicine is “an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person.” Although the text mining community has explored this realm for...

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Detalles Bibliográficos
Autores principales: Gonzalez-Hernandez, Graciela, Sarker, Abeed, O’Connor, Karen, Greene, Casey, Liu, Hongfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466870/
https://www.ncbi.nlm.nih.gov/pubmed/29218914
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author Gonzalez-Hernandez, Graciela
Sarker, Abeed
O’Connor, Karen
Greene, Casey
Liu, Hongfang
author_facet Gonzalez-Hernandez, Graciela
Sarker, Abeed
O’Connor, Karen
Greene, Casey
Liu, Hongfang
author_sort Gonzalez-Hernandez, Graciela
collection PubMed
description According to the National Institutes of Health (NIH), precision medicine is “an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person.” Although the text mining community has explored this realm for some years, the official endorsement and funding launched in 2015 with the Precision Medicine Initiative are beginning to bear fruit. This session sought to elicit participation of researchers with strong background in text mining and/or visualization who are actively collaborating with bench scientists and clinicians for the deployment of integrative approaches in precision medicine that could impact scientific discovery and advance the vision of precision medicine as a universal, accessible approach at the point of care.
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spelling pubmed-74668702020-09-02 Advances in Text Mining and Visualization for Precision Medicine Gonzalez-Hernandez, Graciela Sarker, Abeed O’Connor, Karen Greene, Casey Liu, Hongfang Pac Symp Biocomput Article According to the National Institutes of Health (NIH), precision medicine is “an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person.” Although the text mining community has explored this realm for some years, the official endorsement and funding launched in 2015 with the Precision Medicine Initiative are beginning to bear fruit. This session sought to elicit participation of researchers with strong background in text mining and/or visualization who are actively collaborating with bench scientists and clinicians for the deployment of integrative approaches in precision medicine that could impact scientific discovery and advance the vision of precision medicine as a universal, accessible approach at the point of care. 2018 /pmc/articles/PMC7466870/ /pubmed/29218914 Text en http://creativecommons.org/licenses/by-nc/4.0/ Open Access chapter published by World Scientific Publishing Company and distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC) 4.0 License.
spellingShingle Article
Gonzalez-Hernandez, Graciela
Sarker, Abeed
O’Connor, Karen
Greene, Casey
Liu, Hongfang
Advances in Text Mining and Visualization for Precision Medicine
title Advances in Text Mining and Visualization for Precision Medicine
title_full Advances in Text Mining and Visualization for Precision Medicine
title_fullStr Advances in Text Mining and Visualization for Precision Medicine
title_full_unstemmed Advances in Text Mining and Visualization for Precision Medicine
title_short Advances in Text Mining and Visualization for Precision Medicine
title_sort advances in text mining and visualization for precision medicine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466870/
https://www.ncbi.nlm.nih.gov/pubmed/29218914
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