Patient-age extraction for clinical reports retrieval

Rúben Ramalho; André Mourão; João Magalhães

doi:10.1007/978-3-319-76941-7_46

Patient-age extraction for clinical reports retrieval

Rúben Ramalho, André Mourão, João Magalhães

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Patient demographics are of great importance in clinical decision processes for both diagnosis, tests and treatments. Natural language is the standard in clinical case reports, however, numerical concepts, such as age, do not show their full potential when treated as text tokens. In this paper, we consider the patient age as a numerical dimension and investigate several Kernel methods to smooth a temporal retrieval model. We extract patient age from the clinical case narrative and extend a Dirichlet language to include the temporal dimension. Experimental results on a clinical decision support task, showed that our proposal achieves a relative improvement of 5.7% at the top 10 retrieved documents over a time agnostic baseline.

Original language	English
Title of host publication	Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Proceedings
Editors	G. Pasi, B. Piwowarski, L. Azzopardi, A. Hanbury
Place of Publication	Cham
Publisher	Springer
Pages	570-576
Number of pages	7
ISBN (Electronic)	978-3-319-76941-7
ISBN (Print)	978-3-319-76940-0
DOIs	https://doi.org/10.1007/978-3-319-76941-7_46
Publication status	Published - 1 Jan 2018
Event	40th European Conference on Information Retrieval, ECIR 2018 - Grenoble, France Duration: 26 Mar 2018 → 29 Mar 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer
Volume	10772 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	40th European Conference on Information Retrieval, ECIR 2018
Country/Territory	France
City	Grenoble
Period	26/03/18 → 29/03/18

Access to Document

10.1007/978-3-319-76941-7_46

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Ramalho, R., Mourão, A., & Magalhães, J. (2018). Patient-age extraction for clinical reports retrieval. In G. Pasi, B. Piwowarski, L. Azzopardi, & A. Hanbury (Eds.), Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Proceedings (pp. 570-576). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10772 LNCS). Springer. https://doi.org/10.1007/978-3-319-76941-7_46

Ramalho, Rúben ; Mourão, André ; Magalhães, João. / Patient-age extraction for clinical reports retrieval. Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Proceedings. editor / G. Pasi ; B. Piwowarski ; L. Azzopardi ; A. Hanbury. Cham : Springer, 2018. pp. 570-576 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Patient demographics are of great importance in clinical decision processes for both diagnosis, tests and treatments. Natural language is the standard in clinical case reports, however, numerical concepts, such as age, do not show their full potential when treated as text tokens. In this paper, we consider the patient age as a numerical dimension and investigate several Kernel methods to smooth a temporal retrieval model. We extract patient age from the clinical case narrative and extend a Dirichlet language to include the temporal dimension. Experimental results on a clinical decision support task, showed that our proposal achieves a relative improvement of 5.7% at the top 10 retrieved documents over a time agnostic baseline.",

author = "R{\'u}ben Ramalho and Andr{\'e} Mour{\~a}o and Jo{\~a}o Magalh{\~a}es",

note = "This work has been partially funded by the NOVA LINCS project ref. UID/CEC/04516/2013.; 40th European Conference on Information Retrieval, ECIR 2018 ; Conference date: 26-03-2018 Through 29-03-2018",

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Ramalho, R , Mourão, A & Magalhães, J 2018, Patient-age extraction for clinical reports retrieval. in G Pasi, B Piwowarski, L Azzopardi & A Hanbury (eds), Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10772 LNCS, Springer, Cham, pp. 570-576, 40th European Conference on Information Retrieval, ECIR 2018, Grenoble, France, 26/03/18. https://doi.org/10.1007/978-3-319-76941-7_46

Patient-age extraction for clinical reports retrieval. / Ramalho, Rúben ; Mourão, André ; Magalhães, João.
Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Proceedings. ed. / G. Pasi; B. Piwowarski; L. Azzopardi; A. Hanbury. Cham: Springer, 2018. p. 570-576 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10772 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Patient demographics are of great importance in clinical decision processes for both diagnosis, tests and treatments. Natural language is the standard in clinical case reports, however, numerical concepts, such as age, do not show their full potential when treated as text tokens. In this paper, we consider the patient age as a numerical dimension and investigate several Kernel methods to smooth a temporal retrieval model. We extract patient age from the clinical case narrative and extend a Dirichlet language to include the temporal dimension. Experimental results on a clinical decision support task, showed that our proposal achieves a relative improvement of 5.7% at the top 10 retrieved documents over a time agnostic baseline.

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Ramalho R , Mourão A , Magalhães J. Patient-age extraction for clinical reports retrieval. In Pasi G, Piwowarski B, Azzopardi L, Hanbury A, editors, Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Proceedings. Cham: Springer. 2018. p. 570-576. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-76941-7_46

Patient-age extraction for clinical reports retrieval

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