Self-service Data Science for Healthcare Professionals: A Data Preparation Approach

Marco Spruit, Thomas Dedding, Daniel Vijlbrief

2020

Abstract

Knowledge Discovery (KD) and Data Mining are two well-known and still growing fields that, with the advancements of data collection and storage technologies, emerged and expanded with great strength by the many possibilities and benefits that exploring and analyzing data can bring. However, it is a task that requires great domain expertise to really achieve its full potential. Furthermore, it is an activity which is done mainly by data experts who know little about specific domains, like the healthcare sector, for example. Thus, in this research, we propose means for allowing domain experts from the medical domain (e.g. doctors and nurses) to also be actively part of the Knowledge Discovery process, focusing in the Data Preparation phase, and use the specific domain knowledge that they have in order to start unveiling useful information from the data. Hence, a guideline based on the CRISP-DM framework, in the format of methods fragments is proposed to guide these professionals through the KD process.

Paper Citation

in Harvard Style

Spruit M., Dedding T. and Vijlbrief D. (2020). Self-service Data Science for Healthcare Professionals: A Data Preparation Approach. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF; ISBN 978-989-758-398-8, SciTePress, pages 724-734. DOI: 10.5220/0009169507240734

in Bibtex Style

@conference{healthinf20,
author={Marco Spruit and Thomas Dedding and Daniel Vijlbrief},
title={Self-service Data Science for Healthcare Professionals: A Data Preparation Approach},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF},
year={2020},
pages={724-734},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009169507240734},
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 (BIOSTEC 2020) - Volume 5: HEALTHINF
TI - Self-service Data Science for Healthcare Professionals: A Data Preparation Approach
SN - 978-989-758-398-8
AU - Spruit M.
AU - Dedding T.
AU - Vijlbrief D.
PY - 2020
SP - 724
EP - 734
DO - 10.5220/0009169507240734
PB - SciTePress