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1 Ergebnisse
1
HyperScore: A unified measure to model hypertension progres..:
, In:
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Alkhodari, Mohanad
;
Lapidaire, Winok
;
Xiong, Zhaohan
... - p. 1886-1889 , 2023
Link:
https://doi.org/10.1109/BIBM58861.2023.10385558
RT T1 <cTitle>2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10385558&Exemplar=1&LAN=DE A1 Alkhodari, Mohanad A1 Lapidaire, Winok A1 Xiong, Zhaohan A1 Kart, Turkay A1 Iturria-Medina, Yasser A1 Hadjileontiadis, Leontios A1 Khandoker, Ahsan A1 Lewandowski, Adam J. A1 Banerjee, Abhirup A1 Leeson, Paul YR 2023 SN 2156-1133 K1 Hypertension K1 Atmospheric measurements K1 Biological system modeling K1 Sensitivity and specificity K1 Semisupervised learning K1 Particle measurements K1 Trajectory K1 blood pressure K1 machine learning K1 semi-supervised learning K1 contrastive PCA SP 1886 OP 1889 LK http://dx.doi.org/https://doi.org/10.1109/BIBM58861.2023.10385558 DO https://doi.org/10.1109/BIBM58861.2023.10385558 SF ELIB - SuUB Bremen
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