Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study

Vivekanand Sharma; Wayne Law; Michael J. Balick; Indra Neil Sarkar

Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study

Vivekanand Sharma, Wayne Law, Michael J. Balick, Indra Neil Sarkar

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	American English
Article number	27595045
Pages (from-to)	84-93
Number of pages	10
Journal	AMIA Joint Summits on Translational Science Proceedings
State	Published - Jul 19 2016
Externally published	Yes

Access to Document

Cite this

@article{13f024ac60324f37996c8dbe91739a85,

title = "Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study",

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.",

author = "Vivekanand Sharma and Wayne Law and Balick, {Michael J.} and Sarkar, {Indra Neil}",

year = "2016",

month = jul,

day = "19",

language = "American English",

pages = "84--93",

journal = "AMIA Joint Summits on Translational Science Proceedings",

issn = "2153-4063",

publisher = "American Medical Informatics Association",

}

TY - JOUR

T1 - Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study

AU - Sharma, Vivekanand

AU - Law, Wayne

AU - Balick, Michael J.

AU - Sarkar, Indra Neil

PY - 2016/7/19

Y1 - 2016/7/19

N2 - 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.

AB - 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.

M3 - Conference article

SN - 2153-4063

SP - 84

EP - 93

JO - AMIA Joint Summits on Translational Science Proceedings

JF - AMIA Joint Summits on Translational Science Proceedings

M1 - 27595045

ER -