Towards Semantic Search and Inference in Electronic Medical Records: an approach using concept based information retreival

Koopman, Bevan; Bruza, Peter; Sitbon, Laurianne; Lawley, Michael

doi:10.4066/amj.2012.1362

Cited by 24 publications

(31 citation statements)

References 12 publications

(16 reference statements)

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“…In the experiments of Section 4, we use the procedure outlined in [12], where a text is converted to concepts 4 for indexing using the medical natural language processing system called MetaMap [26]. We refer the reader to [12] for further details.…”

Section: Concept-based Document Indexingmentioning

confidence: 99%

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Combining Word Semantics within Complex Hilbert Space for Information Retrieval

Wittek

Koopman

Zuccon

et al. 2014

Quantum Interaction

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Abstract. Complex numbers are a fundamental aspect of the mathematical formalism of quantum physics. Quantum-like models developed outside physics often overlooked the role of complex numbers. Specifically, previous models in Information Retrieval (IR) have ignored complex numbers. In this paper, we argue that in order to advance the use of quantum models of IR, one has to lift the constraint of real-valued representations of the information space, and package more information within the representation by means of complex numbers. As a first attempt, we propose a complex-valued representation for IR, which explicitly uses complex valued Hilbert spaces, and thus where terms, documents and queries are represented as complex-valued vectors. The proposal consists of integrating distributional semantics evidence within the real component of a term vector; whereas, ontological information is encoded in the imaginary component. Our proposal has the merit of lifting the role of complex numbers from a computational byproduct of the model to the very mathematical texture that unifies different levels of semantic information. An empirical instantiation of our proposal is tested in the TREC Medical Record task of retrieving cohorts for clinical studies.

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Section: Concept-based Document Indexingmentioning

confidence: 99%

“…Using an example from medical IR and departing from an earlier study on the use of semantics in such a task [12], we empirically demonstrate how a more sophisticated model of word semantics can be implemented in Hilbert space by means of complex numbers.…”

Section: Introductionmentioning

confidence: 99%

Combining Word Semantics within Complex Hilbert Space for Information Retrieval

Wittek

Koopman

Zuccon

et al. 2014

Quantum Interaction

Self Cite

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“…We followed previous work in this area for combining medical records belonging to a single patient into a unique document, called a patient visit document [23,24]. We followed the procedure outlined by Koopman et al [12] to obtain a concept representation. Consistently with previous work, SNOMED-CT was chosen as ontology of reference for the concept representation.…”

Section: Experiments Settingsmentioning

confidence: 99%

“…In the experiments of Section 4, we use the procedure outlined in Koopman et al [12], which involves converting both queries and documents to concepts 4 using the medical natural language processing system called MetaMap [26]. Both documents and queries are thus represented not as their original terms but as concept identifiers from the SNOMED-CT ontology.…”

Section: Concept-based Document Indexingmentioning

confidence: 99%

“…Using an example from medical IR and departing from an earlier study on the use of semantics in such a task [12], we empirically demonstrate how a more sophisticated model of word semantics is implemented in Hilbert space by means of complex numbers. While the retrieval performance is better, we must point out that storage requirements double.…”

Section: Introductionmentioning

confidence: 99%

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Combining Word Semantics within Complex Hilbert Space for Information Retrieval

Wittek

Koopman

Zuccon

et al. 2014

Quantum Interaction

Self Cite

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Abstract. Complex numbers are a fundamental aspect of the mathematical formalism of quantum physics. Quantum-like models developed outside physics often overlooked the role of complex numbers. Specifically, previous models in Information Retrieval (IR) ignored complex numbers. We argue that to advance the use of quantum models of IR, one has to lift the constraint of real-valued representations of the information space, and package more information within the representation by means of complex numbers. As a first attempt, we propose a complex-valued representation for IR, which explicitly uses complex valued Hilbert spaces, and thus where terms, documents and queries are represented as complex-valued vectors. The proposal consists of integrating distributional semantics evidence within the real component of a term vector; whereas, ontological information is encoded in the imaginary component. Our proposal has the merit of lifting the role of complex numbers from a computational byproduct of the model to the very mathematical texture that unifies different levels of semantic information. An empirical instantiation of our proposal is tested in the TREC Medical Record task of retrieving cohorts for clinical studies.

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Clinical Information Retrieval: A Literature Review

Sivarajkumar,

Mohammad,

Oniani

et al. 2024

J Healthc Inform Res

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Background: Clinical information retrieval (IR) plays a vital role in modern healthcare by facilitating e cient access and analysis of medical literature for clinicians and researchers. This scoping review aims to offer a comprehensive overview of the current state of clinical IR research and identify gaps and potential opportunities for future studies in this eld.Objectives: The main objective of this review is to identify and analyze published research on clinical IR, including the methods, techniques, and tools used to retrieve and analyze clinical information from various sources. We aim to provide a comprehensive overview of the current state of clinical IR research and guide future research efforts in this eld.Methods: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and conducted a thorough search of multiple databases, including Ovid Embase, Ovid Cochrane Central Register of Controlled Trials,

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Towards Semantic Search and Inference in Electronic Medical Records: an approach using concept based information retreival

Abstract: The concept-based approach provides a framework for further development of inference based search systems for dealing with medical data.

Cited by 24 publications

References 12 publications

Combining Word Semantics within Complex Hilbert Space for Information Retrieval

Combining Word Semantics within Complex Hilbert Space for Information Retrieval

Combining Word Semantics within Complex Hilbert Space for Information Retrieval

Clinical Information Retrieval: A Literature Review

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