Sharma Vivekanand, Law Wayne, Balick Michael J, Sarkar Indra Neil
Center for Biomedical Informatics, Brown University, Providence, RI USA.
Institute of Economic Botany, The New York Botanical Garden, Bronx, NY USA.
AMIA Jt Summits Transl Sci Proc. 2016 Jul 19;2016:84-93. eCollection 2016.
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.
通过对文献中可能蕴含的生物医学知识进行验证,可以增强来自植物传统药用调查的民族植物学数据的影响力。本研究旨在探索利用包括自然语言处理和术语资源在内的信息学方法,从MEDLINE索引的生物医学文献中提取和比较民族植物学线索。利用帕劳和波纳佩密克罗尼西亚岛屿初级卫生保健手册中描述的植物物种的民族植物学数据,本研究的结果是相对于《国际疾病分类第九版临床修订本》(ICD-9-CM)“精神、行为和神经发育障碍”类别中的疾病概念得出的。这项可行性研究的结果表明,信息学方法可用于从生物医学知识文献中提取相关民族植物学信息并确定其优先级。