Using Patient Information for the Prediction of Caregiver Burden in Amyotrophic Lateral Sclerosis

Files in This Item:
File Description SizeFormat 
SIGBio_poster_2020_Anna.pdf286.86 kBAdobe PDFDownload
Title: Using Patient Information for the Prediction of Caregiver Burden in Amyotrophic Lateral Sclerosis
Authors: Antoniadi, Anna MarkellaGalvin, MiriamHeverin, MarkHardiman, OrlaMooney, Catherine
Permanent link: http://hdl.handle.net/10197/12180
Date: 21-Sep-2020
Online since: 2021-05-19T16:36:41Z
Abstract: The aim of this study is to create a Clinical Decision Support System (CDSS) to assist in the early identification and support of caregivers at risk of experiencing burden while caring for a person with Amyotrophic Lateral Sclerosis. We work towards a system that uses a minimum amount of data that could be routinely collected. We investigated if the impairment of patients alone provides sufficient information for the prediction of caregiver burden. Results reveal a better performance of our system in identifying those at risk of high burden, but more information is needed for an accurate CDSS.
Funding Details: European Commission - European Regional Development Fund
Health Research Board
Science Foundation Ireland
Funding Details: FutureNeuro
American ALS Association
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2020 the Authors
Keywords: Amyotrophic lateral sclerosisMachine learningRandom forestCaregiver burden
DOI: 10.1145/3388440.3414908
Language: en
Status of Item: Peer reviewed
Is part of: Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
ISBN: 9781450379649
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Computer Science Research Collection

Show full item record

Page view(s)

62
Last Week
3
Last month
checked on Jun 15, 2021

Download(s)

9
checked on Jun 15, 2021

Google ScholarTM

Check

Altmetric


If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.