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1 Ergebnisse
1
Predicting Knee Osteoarthritis Pain Severity through A Deep..:
, In:
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Teoh, Yun Xin
;
Othmani, Alice
;
Goh, Siew Li
.. - p. 4148-4153 , 2023
Link:
https://doi.org/10.1109/BIBM58861.2023.10385415
RT T1 <cTitle>2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>Predicting Knee Osteoarthritis Pain Severity through A Deep Hybrid Learning Model: Data from the Osteoarthritis Initiative</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10385415&Exemplar=1&LAN=DE A1 Teoh, Yun Xin A1 Othmani, Alice A1 Goh, Siew Li A1 Usman, Juliana A1 Lai, Khin Wee YR 2023 SN 2156-1133 K1 Radiography K1 Deep learning K1 Pain K1 Biological system modeling K1 Decision making K1 Receivers K1 Predictive models K1 deep neural networks K1 diagnosis K1 knee osteoarthritis K1 machine learning K1 pain prediction SP 4148 OP 4153 LK http://dx.doi.org/https://doi.org/10.1109/BIBM58861.2023.10385415 DO https://doi.org/10.1109/BIBM58861.2023.10385415 SF ELIB - SuUB Bremen
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