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Sökning: onr:"swepub:oai:DiVA.org:umu-202939" > Investigation of th...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004194naa a2200457 4500
001oai:DiVA.org:umu-202939
003SwePub
008230114s2021 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-2029392 URI
0247 a https://doi.org/10.1109/EMBC46164.2021.96303702 DOI
040 a (SwePub)umu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a kon2 swepub-publicationtype
1001 a Tedesco, Salvatoreu University College Cork, Tyndall National Institute, Cork, Ireland4 aut
2451 0a Investigation of the analysis of wearable data for cancer-specific mortality prediction in older adults
264 1b IEEE,c 2021
338 a print2 rdacarrier
520 a Cancer is an aggressive disease which imparts a tremendous socio-economic burden on the international community. Early detection is an important aspect in improving survival rates for cancer sufferers; however, very few studies have investigated the possibility of predicting which people have the highest risk to develop this disease, even years before the traditional symptoms first occur. In this paper, a dataset from a longitudinal study which was collected among 2291 70-year olds in Sweden has been analyzed to investigate the possibility for predicting 2-7 year cancer-specific mortality. A tailored ensemble model has been developed to tackle this highly imbalanced dataset. The performance with different feature subsets has been investigated to evaluate the impact that heterogeneous data sources may have on the overall model. While a full-features model shows an Area Under the ROC Curve (AUC-ROC) of 0.882, a feature subset which only includes demographics, self-report health and lifestyle data, and wearable dataset collected in free-living environments presents similar performance (AUC-ROC: 0.857). This analysis confirms the importance of wearable technology for providing unbiased health markers and suggests its possible use in the accurate prediction of 2-7 year cancer-related mortality in older adults.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi0 (SwePub)303022 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Public Health, Global Health, Social Medicine and Epidemiology0 (SwePub)303022 hsv//eng
653 a Cancer
653 a Electronic Health Records
653 a Mortality
653 a Older Adults
653 a Prediction
653 a Wearables
7001 a Andrulli, Martinau University College Cork, Tyndall National Institute, Cork, Ireland4 aut
7001 a Åkerlund Larsson, Markusu Umeå universitet,Institutionen för folkhälsa och klinisk medicin4 aut0 (Swepub:umu)maak0017
7001 a Kelly, Danielu School of Computing, Engineering and Intelligent Systems, Ulster University, Londonderry, United Kingdom4 aut
7001 a Timmons, Suzanneu Centre for Gerontology and Rehabilitation, University College Cork, Cork, Ireland4 aut
7001 a Alamäki, Anttiu Department of Physiotherapy, Karelia University of Applied Sciences, Joensuu, Finland4 aut
7001 a Barton, Johnu University College Cork, Tyndall National Institute, Cork, Ireland4 aut
7001 a Condell, Joanu School of Computing, Engineering and Intelligent Systems, Ulster University, Londonderry, United Kingdom4 aut
7001 a O'Flynn, Brendanu University College Cork, Tyndall National Institute, Cork, Ireland4 aut
7001 a Nordström, Annau Umeå universitet,Institutionen för folkhälsa och klinisk medicin,School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway4 aut0 (Swepub:umu)anagun97
7102 a University College Cork, Tyndall National Institute, Cork, Irelandb Institutionen för folkhälsa och klinisk medicin4 org
7730 t Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBSd : IEEEg , s. 1848-1851q <1848-1851z 9781728111797
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-202939
8564 8u https://doi.org/10.1109/EMBC46164.2021.9630370

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