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Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study
The impact of ethnobotanical data from surveys of traditional medicinal uses ofplants can be enhanced through the validation of biomedical knowledge that may be embedded in literature. This study aimed to explore the use of informatics approaches, including natural language processing and terminolog...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009952/ https://www.ncbi.nlm.nih.gov/pubmed/27595045 |
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author | Sharma, Vivekanand Law, Wayne Balick, Michael J. Sarkar, Indra Neil |
author_facet | Sharma, Vivekanand Law, Wayne Balick, Michael J. Sarkar, Indra Neil |
author_sort | Sharma, Vivekanand |
collection | PubMed |
description | The impact of ethnobotanical data from surveys of traditional medicinal uses ofplants can be enhanced through the validation of biomedical knowledge that may be embedded in literature. This study aimed to explore the use of informatics approaches, including natural language processing and terminology resources, for extracting and comparing ethnobotanical leads from biomedical literature indexed in MEDLINE. Using ethnobotanical data for plant species described in Primary Health Care Manuals of the Micronesian islands of Palau and Pohnpei, the results of this study were done relative to disease concepts from the “Mental, Behavioral And Neurodevelopmental Disorders “ ICD-9-CM category. The results from this feasibility study suggest that informatics methods can be used to extract and prioritize relevant ethnobotanical information from biomedical knowledge literature. |
format | Online Article Text |
id | pubmed-5009952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | American Medical Informatics Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-50099522016-09-02 Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study Sharma, Vivekanand Law, Wayne Balick, Michael J. Sarkar, Indra Neil AMIA Jt Summits Transl Sci Proc Articles The impact of ethnobotanical data from surveys of traditional medicinal uses ofplants can be enhanced through the validation of biomedical knowledge that may be embedded in literature. This study aimed to explore the use of informatics approaches, including natural language processing and terminology resources, for extracting and comparing ethnobotanical leads from biomedical literature indexed in MEDLINE. Using ethnobotanical data for plant species described in Primary Health Care Manuals of the Micronesian islands of Palau and Pohnpei, the results of this study were done relative to disease concepts from the “Mental, Behavioral And Neurodevelopmental Disorders “ ICD-9-CM category. The results from this feasibility study suggest that informatics methods can be used to extract and prioritize relevant ethnobotanical information from biomedical knowledge literature. American Medical Informatics Association 2016-07-19 /pmc/articles/PMC5009952/ /pubmed/27595045 Text en ©2016 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose |
spellingShingle | Articles Sharma, Vivekanand Law, Wayne Balick, Michael J. Sarkar, Indra Neil Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study |
title | Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study |
title_full | Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study |
title_fullStr | Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study |
title_full_unstemmed | Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study |
title_short | Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study |
title_sort | identifying plant-human disease associations in biomedical literature: a case study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009952/ https://www.ncbi.nlm.nih.gov/pubmed/27595045 |
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