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Patient Selection for Clinical Trials Using Temporalized Ontology-Mediated Query Answering

Published: 23 April 2018 Publication History

Abstract

Finding suitable candidates for clinical trials is a labor-intensive task that requires expert medical knowledge. Our goal is to design (semi-)automated techniques that can support clinical researchers in this task. We investigate the issues involved in designing formal query languages for selecting patients that are eligible for a given clinical trial, leveraging existing ontology-based query answering techniques. In particular, we propose to use a temporal extension of existing approaches for accessing data through ontologies written in Description Logics. We sketch how such a query answering system could work and show that eligibility criteria and patient data can be adequately modeled in our formalism.

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Cited By

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  • (2022)A systematic review on time-constrained ontology evolution in predictive maintenanceArtificial Intelligence Review10.1007/s10462-021-10079-z55:4(3183-3211)Online publication date: 1-Apr-2022
  • (2020)Metric Temporal Description Logics with Interval-Rigid NamesACM Transactions on Computational Logic10.1145/339944321:4(1-46)Online publication date: 11-Aug-2020
  • (2019)Testing the Usability of SNOMED CT Terms Suggestion in Medical Report2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)10.1109/CBMS.2019.00137(672-677)Online publication date: Jun-2019
  • Show More Cited By

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cover image ACM Other conferences
WWW '18: Companion Proceedings of the The Web Conference 2018
April 2018
2023 pages
ISBN:9781450356404
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • IW3C2: International World Wide Web Conference Committee

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 23 April 2018

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Author Tags

  1. clinical trials
  2. patient cohort recruitment
  3. temporal description logic

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  • Research-article

Funding Sources

  • DFG
  • SFB

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WWW '18
Sponsor:
  • IW3C2
WWW '18: The Web Conference 2018
April 23 - 27, 2018
Lyon, France

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2022)A systematic review on time-constrained ontology evolution in predictive maintenanceArtificial Intelligence Review10.1007/s10462-021-10079-z55:4(3183-3211)Online publication date: 1-Apr-2022
  • (2020)Metric Temporal Description Logics with Interval-Rigid NamesACM Transactions on Computational Logic10.1145/339944321:4(1-46)Online publication date: 11-Aug-2020
  • (2019)Testing the Usability of SNOMED CT Terms Suggestion in Medical Report2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)10.1109/CBMS.2019.00137(672-677)Online publication date: Jun-2019
  • (2019)A method for using temporal reasoners to answer the history of science questionsInternational Journal of Information Technology10.1007/s41870-019-00373-z12:1(181-188)Online publication date: 30-Oct-2019
  • (2019)Finding New Diamonds: Temporal Minimal-World Query Answering over Sparse ABoxesRules and Reasoning10.1007/978-3-030-31095-0_1(3-18)Online publication date: 16-Sep-2019
  • (2019)Temporal Logic Programs with Temporal Description Logic AxiomsDescription Logic, Theory Combination, and All That10.1007/978-3-030-22102-7_8(174-186)Online publication date: 1-Jun-2019
  • (2018)Ontop-temporalProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3269230(1927-1930)Online publication date: 17-Oct-2018

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