iDISK: the integrated DIetary Supplements Knowledge base

Author:

Rizvi Rubina F12,Vasilakes Jake12,Adam Terrence J12,Melton Genevieve B13,Bishop Jeffrey R4,Bian Jiang5,Tao Cui6,Zhang Rui12

Affiliation:

1. Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA

2. Department of Pharmaceutical Care & Health Systems, University of Minnesota, Minneapolis, Minnesota, USA

3. Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA

4. Department of Experimental and Clinical Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA

5. Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA

6. School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA

Abstract

Abstract Objective To build a knowledge base of dietary supplement (DS) information, called the integrated DIetary Supplement Knowledge base (iDISK), which integrates and standardizes DS-related information from 4 existing resources. Materials and Methods iDISK was built through an iterative process comprising 3 phases: 1) establishment of the content scope, 2) development of the data model, and 3) integration of existing resources. Four well-regarded DS resources were integrated into iDISK: The Natural Medicines Comprehensive Database, the “About Herbs” page on the Memorial Sloan Kettering Cancer Center website, the Dietary Supplement Label Database, and the Natural Health Products Database. We evaluated the iDISK build process by manually checking that the data elements associated with 50 randomly selected ingredients were correctly extracted and integrated from their respective sources. Results iDISK encompasses a terminology of 4208 DS ingredient concepts, which are linked via 6 relationship types to 495 drugs, 776 diseases, 985 symptoms, 605 therapeutic classes, 17 system organ classes, and 137 568 DS products. iDISK also contains 7 concept attribute types and 3 relationship attribute types. Evaluation of the data extraction and integration process showed average errors of 0.3%, 2.6%, and 0.4% for concepts, relationships and attributes, respectively. Conclusion We developed iDISK, a publicly available standardized DS knowledge base that can facilitate more efficient and meaningful dissemination of DS knowledge.

Funder

National Center for Complementary & Integrative Health

NCCIH

Office of Dietary Supplements

ODS

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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