Integratingva's NDF-RT drug terminology with PharmGKB: Preliminary results

Jyotishman Pathak; Laura C. Weiss; Matthew J. Durski; Qian Zhu; Robert R. Freimuth; Christopher G. Chute

Integratingva's NDF-RT drug terminology with PharmGKB: Preliminary results

Jyotishman Pathak, Laura C. Weiss, Matthew J. Durski, Qian Zhu, Robert R. Freimuth, Christopher G. Chute

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

Abstract

Biomedical terminology and vocabulary standards play an important role in enabling consistent, comparable, and meaningful sharing of data within and across institutional boundaries, as well as ensuring semantic interoperability. The Veterans Affairs (VA) National Drug File Reference Terminology (NDF-RT) is a federally recommended standardized terminology resource encompassing medications, ingredients, and a hierarchy for high-level drug classes. In this study, we investigate the drug-disease relationships in NDF-RT and determine how PharmGKB can be leveraged to augment NDF-RT, and viceversa. Our preliminary results indicate that with additional curation and analyses, information contained in both knowledge resources can be mutually integrated.

Original language	English (US)
Pages (from-to)	400-409
Number of pages	10
Journal	Pacific Symposium on Biocomputing
State	Published - 2012
Externally published	Yes
Event	17th Pacific Symposium on Biocomputing, PSB 2012 - Kohala Coast, United States Duration: Jan 3 2012 → Jan 7 2012

ASJC Scopus subject areas

Biomedical Engineering
Computational Theory and Mathematics

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title = "Integratingva's NDF-RT drug terminology with PharmGKB: Preliminary results",

abstract = "Biomedical terminology and vocabulary standards play an important role in enabling consistent, comparable, and meaningful sharing of data within and across institutional boundaries, as well as ensuring semantic interoperability. The Veterans Affairs (VA) National Drug File Reference Terminology (NDF-RT) is a federally recommended standardized terminology resource encompassing medications, ingredients, and a hierarchy for high-level drug classes. In this study, we investigate the drug-disease relationships in NDF-RT and determine how PharmGKB can be leveraged to augment NDF-RT, and viceversa. Our preliminary results indicate that with additional curation and analyses, information contained in both knowledge resources can be mutually integrated.",

author = "Jyotishman Pathak and Weiss, {Laura C.} and Durski, {Matthew J.} and Qian Zhu and Freimuth, {Robert R.} and Chute, {Christopher G.}",

year = "2012",

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pages = "400--409",

journal = "Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing",

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T1 - Integratingva's NDF-RT drug terminology with PharmGKB

T2 - 17th Pacific Symposium on Biocomputing, PSB 2012

AU - Pathak, Jyotishman

AU - Weiss, Laura C.

AU - Durski, Matthew J.

AU - Zhu, Qian

AU - Freimuth, Robert R.

AU - Chute, Christopher G.

PY - 2012

Y1 - 2012

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AB - Biomedical terminology and vocabulary standards play an important role in enabling consistent, comparable, and meaningful sharing of data within and across institutional boundaries, as well as ensuring semantic interoperability. The Veterans Affairs (VA) National Drug File Reference Terminology (NDF-RT) is a federally recommended standardized terminology resource encompassing medications, ingredients, and a hierarchy for high-level drug classes. In this study, we investigate the drug-disease relationships in NDF-RT and determine how PharmGKB can be leveraged to augment NDF-RT, and viceversa. Our preliminary results indicate that with additional curation and analyses, information contained in both knowledge resources can be mutually integrated.

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AN - SCOPUS:84891471818

SP - 400

EP - 409

JO - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

JF - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

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