SwePub
Sök i LIBRIS databas

  Utökad sökning

onr:"swepub:oai:DiVA.org:umu-202939"
 

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

Investigation of the analysis of wearable data for cancer-specific mortality prediction in older adults

Tedesco, Salvatore (författare)
University College Cork, Tyndall National Institute, Cork, Ireland
Andrulli, Martina (författare)
University College Cork, Tyndall National Institute, Cork, Ireland
Åkerlund Larsson, Markus (författare)
Umeå universitet,Institutionen för folkhälsa och klinisk medicin
visa fler...
Kelly, Daniel (författare)
School of Computing, Engineering and Intelligent Systems, Ulster University, Londonderry, United Kingdom
Timmons, Suzanne (författare)
Centre for Gerontology and Rehabilitation, University College Cork, Cork, Ireland
Alamäki, Antti (författare)
Department of Physiotherapy, Karelia University of Applied Sciences, Joensuu, Finland
Barton, John (författare)
University College Cork, Tyndall National Institute, Cork, Ireland
Condell, Joan (författare)
School of Computing, Engineering and Intelligent Systems, Ulster University, Londonderry, United Kingdom
O'Flynn, Brendan (författare)
University College Cork, Tyndall National Institute, Cork, Ireland
Nordström, Anna (författare)
Umeå universitet,Institutionen för folkhälsa och klinisk medicin,School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
visa färre...
 (creator_code:org_t)
IEEE, 2021
2021
Engelska.
Ingår i: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. - : IEEE. - 9781728111797 ; , s. 1848-1851
Relaterad länk:
https://urn.kb.se/re...
visa fler...
https://doi.org/10.1...
visa färre...
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Nyckelord

Cancer
Electronic Health Records
Mortality
Older Adults
Prediction
Wearables

Publikations- och innehållstyp

ref (ämneskategori)
kon (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy