Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study
Document Type
Article
Publication Date
7-19-2016
Abstract
The impact of ethnobotanical data from surveys of traditional medicinal uses of plants 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.
Publisher
American Medical Informatics Association
Conference/Symposium
AMIA Joint Summits on Translational Science Proceedings
Pages
84-93
Department
College of Arts and Sciences
Recommended Citation
Sharma, V., Law, W., Balick, M. J., & Sarkar, I. N. (2016). Identifying plant-human disease associations in biomedical literature: A case study. AMIA Joint Summits on Translational Science Proceedings, 84-93. https://pmc.ncbi.nlm.nih.gov/articles/PMC5009952/
