Standardizing Biochemistry Dataset for Medical Research

Wilfred Bonney, Alexander Doney, Emily Jefferson

2014

Abstract

Harnessing clinical datasets from the repository of electronic health records for research and medical intelligence has become the norm of the 21st century. Clinical datasets present a great opportunity for medical researchers and data analysts to perform cohort selections and data linkages to support better informed clinical decision-making and evidence-based medicine. This paper utilized Logical Observation Identifiers Names and Codes (LOINC®) encoding methodology to encode the biochemistry tests in the anonymized biochemistry dataset obtained from the Health Informatics Centre (HIC) at the University of Dundee. Preliminary results indicated that the encoded dataset was flexible in supporting statistical analysis and data mining techniques. Moreover, the results indicated that the LOINC codes cover most of the biochemistry tests used in National Health Service (NHS) Tayside, Scotland.

Paper Citation

in Harvard Style

Bonney W., Doney A. and Jefferson E. (2014). Standardizing Biochemistry Dataset for Medical Research . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 205-210. DOI: 10.5220/0004745802050210

in Bibtex Style

@conference{healthinf14,
author={Wilfred Bonney and Alexander Doney and Emily Jefferson},
title={Standardizing Biochemistry Dataset for Medical Research},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={205-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004745802050210},
isbn={978-989-758-010-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Standardizing Biochemistry Dataset for Medical Research
SN - 978-989-758-010-9
AU - Bonney W.
AU - Doney A.
AU - Jefferson E.
PY - 2014
SP - 205
EP - 210
DO - 10.5220/0004745802050210