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1 Ergebnisse
1
Deep-Learning Approach to Predict Survival Outcomes Using W..:
Tien Yun Yang
;
Pin-Yu Kuo
;
Yaoru Huang
...
https://www.frontiersin.org/articles/10.3389/fpubh.2021.730150/full. , 2021
Link:
https://doi.org/10.3389/fpubh.2021.730150
RT Journal T1 <Title>Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:478ab028c4f4463c95a70bc3d8cafeaf&Exemplar=1&LAN=DE A1 Tien Yun Yang A1 Pin-Yu Kuo A1 Yaoru Huang A1 Hsiao-Wei Lin A1 Shwetambara Malwade A1 Long-Sheng Lu A1 Lung-Wen Tsai A1 Shabbir Syed-Abdul A1 Chia-Wei Sun A1 Jeng-Fong Chiou PB Frontiers Media S.A. YR 2021 K1 palliative care K1 performance status K1 survival prediction K1 prognostic accuracy K1 wearable technology K1 deep learning K1 Public aspects of medicine K1 RA1-1270 JF https://www.frontiersin.org/articles/10.3389/fpubh.2021.730150/full LK http://dx.doi.org/https://doi.org/10.3389/fpubh.2021.730150 DO https://doi.org/10.3389/fpubh.2021.730150 SF ELIB - SuUB Bremen
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