Sökning: onr:"swepub:oai:DiVA.org:umu-202939" > Investigation of th...
Fältnamn | Indikatorer | Metadata |
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000 | 04194naa a2200457 4500 | |
001 | oai:DiVA.org:umu-202939 | |
003 | SwePub | |
008 | 230114s2021 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-2029392 URI |
024 | 7 | a https://doi.org/10.1109/EMBC46164.2021.96303702 DOI |
040 | a (SwePub)umu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a kon2 swepub-publicationtype |
100 | 1 | a Tedesco, Salvatoreu University College Cork, Tyndall National Institute, Cork, Ireland4 aut |
245 | 1 0 | a Investigation of the analysis of wearable data for cancer-specific mortality prediction in older adults |
264 | 1 | b 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 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi0 (SwePub)303022 hsv//swe |
650 | 7 | a 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 | |
700 | 1 | a Andrulli, Martinau University College Cork, Tyndall National Institute, Cork, Ireland4 aut |
700 | 1 | a Åkerlund Larsson, Markusu Umeå universitet,Institutionen för folkhälsa och klinisk medicin4 aut0 (Swepub:umu)maak0017 |
700 | 1 | a Kelly, Danielu School of Computing, Engineering and Intelligent Systems, Ulster University, Londonderry, United Kingdom4 aut |
700 | 1 | a Timmons, Suzanneu Centre for Gerontology and Rehabilitation, University College Cork, Cork, Ireland4 aut |
700 | 1 | a Alamäki, Anttiu Department of Physiotherapy, Karelia University of Applied Sciences, Joensuu, Finland4 aut |
700 | 1 | a Barton, Johnu University College Cork, Tyndall National Institute, Cork, Ireland4 aut |
700 | 1 | a Condell, Joanu School of Computing, Engineering and Intelligent Systems, Ulster University, Londonderry, United Kingdom4 aut |
700 | 1 | a O'Flynn, Brendanu University College Cork, Tyndall National Institute, Cork, Ireland4 aut |
700 | 1 | 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 |
710 | 2 | a University College Cork, Tyndall National Institute, Cork, Irelandb Institutionen för folkhälsa och klinisk medicin4 org |
773 | 0 | t Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBSd : IEEEg , s. 1848-1851q <1848-1851z 9781728111797 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-202939 |
856 | 4 8 | u https://doi.org/10.1109/EMBC46164.2021.9630370 |
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