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1 Ergebnisse
1
Potential predictors of type-2 diabetes risk: machine learn..:
, In:
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Stolfi, Paola
;
Valentini, Ilaria
;
Palumbo, Maria Concetta
... - p. 2214-2221 , 2019
Link:
https://doi.org/10.1109/BIBM47256.2019.8983035
RT T1 <cTitle>2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8983035&Exemplar=1&LAN=DE A1 Stolfi, Paola A1 Valentini, Ilaria A1 Palumbo, Maria Concetta A1 Tieri, Paolo A1 Grignolio, Andrea A1 Castiglione, Filippo YR 2019 K1 T2D K1 diabetes K1 mathematical and computational modelling K1 simulation K1 machine learning K1 random forest SP 2214 OP 2221 LK http://dx.doi.org/https://doi.org/10.1109/BIBM47256.2019.8983035 DO https://doi.org/10.1109/BIBM47256.2019.8983035 SF ELIB - SuUB Bremen
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