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http://hdl.handle.net/1893/26060
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DC Field | Value | Language |
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dc.contributor.author | Haraldsson, Saemundur | en_UK |
dc.contributor.author | Brynjolfsdottir, Ragnheidur D | en_UK |
dc.contributor.author | Woodward, John | en_UK |
dc.contributor.author | Siggeirsdottir, Kristin | en_UK |
dc.contributor.author | Gudnason, Vilmundur | en_UK |
dc.date.accessioned | 2017-12-23T00:08:22Z | - |
dc.date.available | 2017-12-23T00:08:22Z | - |
dc.date.issued | 2017-09-04 | en_UK |
dc.identifier.uri | http://hdl.handle.net/1893/26060 | - |
dc.description.abstract | With the expanding load on healthcare and consequent strain on budget, the demand for tools to increase efficiency in treatments is rising. The use of prediction models throughout the treatment to identify risk factors might be a solution. In this paper we present a novel implementation of a prediction tool and the first use of a dynamic predictor in vocational rehabilitation practice. The tool is periodically updated and improved with Genetic Improvement of software. The predictor has been in use for 10 months and is evaluated on predictions made during that time by comparing them with actual treatment outcome. The results show that the predictions have been consistently accurate throughout the patients' treatment. After approximately 3 week learning phase, the predictor classified patients with 100% accuracy and precision on previously unseen data. The predictor is currently being successfully used in a complex live system where specialists have used it to make informed decisions. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | IEEE | en_UK |
dc.relation | Haraldsson S, Brynjolfsdottir RD, Woodward J, Siggeirsdottir K & Gudnason V (2017) The use of predictive models in dynamic treatment planning. In: 2017 IEEE Symposium on Computers and Communications (ISCC). IEEE Symposium on Computers and Communications (ISCC 2017), Heraklion, Greece, 03.07.2017-06.07.2017. Piscataway, NJ, USA: IEEE, pp. 242-247. https://doi.org/10.1109/ISCC.2017.8024536 | en_UK |
dc.rights | © 2017 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. | en_UK |
dc.subject | Prediction Models | en_UK |
dc.subject | Healthcare | en_UK |
dc.subject | Dynamic Planing | en_UK |
dc.subject | Machine Learning | en_UK |
dc.subject | Vocational Rehabilitation | en_UK |
dc.subject | Genetic Improvement of Software | en_UK |
dc.title | The use of predictive models in dynamic treatment planning | en_UK |
dc.type | Conference Paper | en_UK |
dc.identifier.doi | 10.1109/ISCC.2017.8024536 | en_UK |
dc.citation.spage | 242 | en_UK |
dc.citation.epage | 247 | en_UK |
dc.citation.publicationstatus | Published | en_UK |
dc.type.status | AM - Accepted Manuscript | en_UK |
dc.contributor.funder | Engineering and Physical Sciences Research Council | en_UK |
dc.citation.btitle | 2017 IEEE Symposium on Computers and Communications (ISCC) | en_UK |
dc.citation.conferencedates | 2017-07-03 - 2017-07-06 | en_UK |
dc.citation.conferencelocation | Heraklion, Greece | en_UK |
dc.citation.conferencename | IEEE Symposium on Computers and Communications (ISCC 2017) | en_UK |
dc.citation.date | 04/09/2017 | en_UK |
dc.citation.isbn | 978-1-5386-1630-7 | en_UK |
dc.citation.isbn | 978-1-5386-1629-1 | en_UK |
dc.publisher.address | Piscataway, NJ, USA | en_UK |
dc.contributor.affiliation | Computing Science | en_UK |
dc.contributor.affiliation | Janus Rehabilitation | en_UK |
dc.contributor.affiliation | Computing Science and Mathematics - Division | en_UK |
dc.contributor.affiliation | Janus Rehabilitation | en_UK |
dc.contributor.affiliation | Janus Rehabilitation | en_UK |
dc.identifier.scopusid | 2-s2.0-85030561482 | en_UK |
dc.identifier.wtid | 515597 | en_UK |
dc.contributor.orcid | 0000-0003-0395-5884 | en_UK |
dc.contributor.orcid | 0000-0002-2093-8990 | en_UK |
dc.date.accepted | 2017-02-24 | en_UK |
dcterms.dateAccepted | 2017-02-24 | en_UK |
dc.date.filedepositdate | 2017-10-30 | en_UK |
dc.relation.funderproject | DAASE: Dynamic Adaptive Automated Software Engineering | en_UK |
dc.relation.funderref | EP/J017515/1 | en_UK |
rioxxterms.apc | not required | en_UK |
rioxxterms.type | Conference Paper/Proceeding/Abstract | en_UK |
rioxxterms.version | AM | en_UK |
local.rioxx.author | Haraldsson, Saemundur|0000-0003-0395-5884 | en_UK |
local.rioxx.author | Brynjolfsdottir, Ragnheidur D| | en_UK |
local.rioxx.author | Woodward, John|0000-0002-2093-8990 | en_UK |
local.rioxx.author | Siggeirsdottir, Kristin| | en_UK |
local.rioxx.author | Gudnason, Vilmundur| | en_UK |
local.rioxx.project | EP/J017515/1|Engineering and Physical Sciences Research Council|http://dx.doi.org/10.13039/501100000266 | en_UK |
local.rioxx.freetoreaddate | 2017-10-30 | en_UK |
local.rioxx.licence | http://www.rioxx.net/licenses/all-rights-reserved|2017-10-30| | en_UK |
local.rioxx.filename | predictive_models_dynamic_revision.pdf | en_UK |
local.rioxx.filecount | 1 | en_UK |
local.rioxx.source | 978-1-5386-1629-1 | en_UK |
Appears in Collections: | Computing Science and Mathematics Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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predictive_models_dynamic_revision.pdf | Fulltext - Accepted Version | 760.14 kB | Adobe PDF | View/Open |
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