Event-based Pathology Data Prioritisation: A Study using Multi-variate Time Series Classification

Jing Qi, Girvan Burnside, Paul Charnley, Frans Coenen

2021

Abstract

A particular challenge for any hospital is the large amount of pathology data that doctors are routinely presented with. Pathology result analysis is routine in hospital environments. Some form of machine learning for pathology result prioritisation is therefore desirable. Patients typically have a history of pathology results, and each pathology result may have several dimensions, hence time series analysis for prioritisation suggests itself. However, because of the resource required, labelled prioritisation training data is typically not readily available. Hence traditional supervised learning and/or ranking is not a realistic solution and some alternative solution is required. The idea presented in this paper is to use the outcome event, what happened to a patient, as a proxy for a ground truth prioritisation data set. This idea is explored using two approaches: kNN time series classification and Long Short-Term Memory deep learning.

Paper Citation

in Bibtex Style

@conference{kdir21,
author={Jing Qi and Girvan Burnside and Paul Charnley and Frans Coenen},
title={Event-based Pathology Data Prioritisation: A Study using Multi-variate Time Series Classification},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR},
year={2021},
pages={121-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010643900003064},
isbn={978-989-758-533-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR
TI - Event-based Pathology Data Prioritisation: A Study using Multi-variate Time Series Classification
SN - 978-989-758-533-3
AU - Qi J.
AU - Burnside G.
AU - Charnley P.
AU - Coenen F.
PY - 2021
SP - 121
EP - 128
DO - 10.5220/0010643900003064
PB - SciTePress

in Harvard Style

Qi J., Burnside G., Charnley P. and Coenen F. (2021). Event-based Pathology Data Prioritisation: A Study using Multi-variate Time Series Classification. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR; ISBN 978-989-758-533-3, SciTePress, pages 121-128. DOI: 10.5220/0010643900003064