Semantic Overlapping in Translational Bioinformatics Applied to the Matching between Clinical Trial Eligibility Criteria and Patient Needs

Radmila Juric, Eton Williams, Inhwa Kim

Abstract

Software technologies play an important role in defining clinical trials, their eligibility criteria and recruitment process, in which patient enrol to a trial if they satisfy eligibility criteria. In this research we address the problem of semantic overlapping between eligibility criteria and patient needs through a software architectural model which houses a specific computational model based on reasoning upon the overlapping semantics. The architectural model is deployed using semantic technologies in order to explore the meaning of the relationships between trials, eligibility criteria and patient needs. The novelty is in the reusability and thus converting of the existing conceptual models on deriving eligibility criteria, available in literature, into the proposed OWL model, which can serve any clinical trial and requirements patients may have. This paper is written by computer scientists interested in manipulating semantics of data through computational models using modern software technologies. It serves as an invitation to researchers from the biomedical and translational informatics to debate the future of software support in managing clinical trials.

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Paper Citation


in Harvard Style

Juric R., Williams E. and Kim I. (2020). Semantic Overlapping in Translational Bioinformatics Applied to the Matching between Clinical Trial Eligibility Criteria and Patient Needs.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: C2C, ISBN 978-989-758-398-8, pages 315-322. DOI: 10.5220/0009406503150322


in Bibtex Style

@conference{c2c20,
author={Radmila Juric and Eton Williams and Inhwa Kim},
title={Semantic Overlapping in Translational Bioinformatics Applied to the Matching between Clinical Trial Eligibility Criteria and Patient Needs},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: C2C,},
year={2020},
pages={315-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009406503150322},
isbn={978-989-758-398-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: C2C,
TI - Semantic Overlapping in Translational Bioinformatics Applied to the Matching between Clinical Trial Eligibility Criteria and Patient Needs
SN - 978-989-758-398-8
AU - Juric R.
AU - Williams E.
AU - Kim I.
PY - 2020
SP - 315
EP - 322
DO - 10.5220/0009406503150322