Knowledge Base of Inborn Errors of Metabolism (IEMbase): A Practical Approach

Tamar V. Av-Shalom, Jessica J. Y. Lee, Carlos R. Ferreira, Nenad Blau, Clara D. M. van Karnebeek, Wyeth W. Wasserman

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Here we give an overview of the inborn errors of metabolism knowledge base, or IEMbase, a comprehensive electronic repository of the IEMs described in this book. Developed as a companion application to this textbook, IEMbase provides two key functions: first, it is a free and openly available repository of the features characterizing the different IEMs; second, it has an artificial intelligence (AI) search tool to aid the diagnosis of IEMs. Given the highly specialized knowledge necessary to accurately diagnose IEMs and the necessity for timely diagnosis, it is essential that all clinicians involved in IEM diagnoses have quick access to the disease-characterizing features of known IEMs. IEMbase fills this gap by providing a highly accessible tool to aid clinicians in overcoming the barriers to IEM diagnosis.
Original languageEnglish
Title of host publicationPhysician's Guide to the Diagnosis, Treatment, and Follow-Up of Inherited Metabolic Diseases, Second Edition
PublisherSpringer International Publishing
Pages1449-1455
ISBN (Electronic)9783030721848
ISBN (Print)9783030721831
DOIs
Publication statusPublished - 1 Jan 2022

Publication series

NamePhysician's Guide to the Diagnosis, Treatment, and Follow-Up of Inherited Metabolic Diseases, Second Edition

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