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1 Ergebnisse
1
Machine Learning Embedded Smartphone Application for Early-..:
, In:
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
,
Shuvo, Md Maruf Hossain
;
Ahmed, Nafis
;
Islam, Humayera
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/MeMeA54994.2022.9856420
RT T1 <cTitle>2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)</cTitle>: T1 <Title>Machine Learning Embedded Smartphone Application for Early-Stage Diabetes Risk Assessment</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9856420&Exemplar=1&LAN=DE A1 Shuvo, Md Maruf Hossain A1 Ahmed, Nafis A1 Islam, Humayera A1 Alaboud, Khuder A1 Cheng, Jianlin A1 Mosa, Abu Saleh Mohammad A1 Islam, Syed Kamrul YR 2022 K1 Pipelines K1 Medical services K1 Predictive models K1 Real-time systems K1 Diabetes K1 Risk management K1 Reliability K1 AI-on-edge K1 machine learning K1 diabetes risk assessment K1 non-invasive screening K1 ML-embedded application SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/MeMeA54994.2022.9856420 DO https://doi.org/10.1109/MeMeA54994.2022.9856420 SF ELIB - SuUB Bremen
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