Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications

Abderrahim Batouche, Abderrahim Batouche, Abderrahim Batouche, Eugen Czeizler, Eugen Czeizler, Miika Koskinen, Tuomas Mirtti, Tuomas Mirtti, Antti Rannikko, Antti Rannikko

2024

Abstract

The presence of detailed clinical information in electronic health record (EHR) systems presents promising prospects for enhancing patient care through automated retrieval techniques. Nevertheless, it is widely acknowledged that accessing data within EHRs is hindered by various methodological challenges. Specifically, the clinical notes stored in EHRs are composed in a narrative form, making them prone to ambiguous formulations and highly unstructured data presentations, while structured reports commonly suffer from missing and/or erroneous data entries. This inherent complexity poses significant challenges when attempting automated large-scale medical knowledge extraction tasks, necessitating the application of advanced tools, such as natural language processing (NLP), as well as data audit techniques. This work aims to address these obstacles by creating and validating a novel pipeline designed to extract relevant data pertaining to prostate cancer patients. The objective is to exploit the inherent redundancies available within the integrated structured and unstructured data entries within EHRs in order to generate comprehensive and reliable medical databases, ready to be used in advanced research studies. Additionally, the study explores potential opportunities arising from these data, offering valuable prospects for advancing research in prostate cancer.

Paper Citation

in Harvard Style

Batouche A., Czeizler E., Koskinen M., Mirtti T. and Rannikko A. (2024). Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 77-86. DOI: 10.5220/0012350300003657

in Bibtex Style

@conference{healthinf24,
author={Abderrahim Batouche and Eugen Czeizler and Miika Koskinen and Tuomas Mirtti and Antti Rannikko},
title={Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2024},
pages={77-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012350300003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications
SN - 978-989-758-688-0
AU - Batouche A.
AU - Czeizler E.
AU - Koskinen M.
AU - Mirtti T.
AU - Rannikko A.
PY - 2024
SP - 77
EP - 86
DO - 10.5220/0012350300003657
PB - SciTePress