Challenges in designing an online healthcare platform for personalised patient analytics

Poh, Norman, Tirunagari, Santosh and Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516 (2014) Challenges in designing an online healthcare platform for personalised patient analytics. In: 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), 9-12 Dec 2014, Orlando, FL., USA. (doi:10.1109/CIBD.2014.7011526)

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Abstract

The growing number and size of clinical medical records (CMRs) represents new opportunities for finding meaningful patterns and patient treatment pathways while at the same time presenting a huge challenge for clinicians. Indeed, CMR repositories share many characteristics of the classical ‘big data’ problem, requiring specialised expertise for data management, extraction, and modelling. In order to help clinicians make better use of their time to process data, they will need more adequate data processing and analytical tools, beyond the capabilities offered by existing general purpose database management systems or database servers.
One modelling technique that can readily benefit from the availability of big data, yet remains relatively unexplored is personalised analytics where a model is built for each patient. In this paper, we present a strategy for designing a secure healthcare platform for personalised analytics by focusing on three aspects: (1) data representation, (2) data privacy and security, and (3) personalised analytics enabled by machine learning algorithms.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 19499
Notes on copyright: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: David Windridge
Date Deposited: 22 Apr 2016 11:01
Last Modified: 31 May 2019 04:47
ISBN: 9781479945412
URI: https://eprints.mdx.ac.uk/id/eprint/19499

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