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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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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. |
format | Online Article Text |
id | pubmed-7466870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
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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