Medical case-based retrieval of patient records using the radlex hierarchical lexicon

Assaf B. Spanier*, Leo Joskowicz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We present a new method for the retrieval radiological cases from a database of clinical cases described by terms from the RadLex lexicon. The input is an database of cases and a query consisting of the patient volumetric scan, a user-defined region of interest in it, and a list of RadLex from the radiological report. The output is list of the most relevant cases from the database in decreasing order. Our method uses the RadLex terms and their hierarchical representation to define a similarity metric between terms based on their relative location in the hierarchy. For this purpose, we develop the Augmented RadLex Graph, a data structure that augments the RadLex hierarchy with links derived from the terms in the case reports, and a search algorithm that ranks case similarity based on the link distance between the terms in the graph. Our method was evaluated in the VISCERAL Retrieval Benchmark Challenge on 8 queries and a database of 1,813 cases. It ranked first in 6 out of the 8 cases tested.

Original languageAmerican English
Title of host publicationMultimodal Retrieval in the Medical Domain - 1st International Workshop, MRMD 2015, Revised Selected Papers
EditorsGeorg Langs, Henning Müller H., Oscar Alfonso Jimenez del Toro, Allan Hanbury, Antonio Foncubierta Rodríguez
PublisherSpringer Verlag
Pages129-138
Number of pages10
ISBN (Print)9783319244709
DOIs
StatePublished - 2015
Event1st International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015 - Vienna, Austria
Duration: 29 Mar 201529 Mar 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9059
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015
Country/TerritoryAustria
CityVienna
Period29/03/1529/03/15

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

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