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Classification of Visit-to-Visit Blood Pressure Variability..:
, In:
Proceedings of the 2017 International Conference on Digital Health
,
Tsoi, Kelvin KF
;
Lam, Max WY
;
Chan, Felix CH
... - p. 58-59 , 2017
Link:
https://dl.acm.org/doi/10.1145/3079452.3079454
RT T1 <cTitle>Proceedings of the 2017 International Conference on Digital Health</cTitle>: T1 <Title>Classification of Visit-to-Visit Blood Pressure Variability : A Machine Learning Approach for Data Clustering on Systolic Blood Pressure Intervention Trial (SPRINT)</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3079454&Exemplar=1&LAN=DE A1 Tsoi, Kelvin KF A1 Lam, Max WY A1 Chan, Felix CH A1 Hirai, Hoyee A1 Bat, Baker KK A1 Wong, Samuel YS A1 Meng, Helen ML PB ACM YR 2017 K1 blood pressure variability K1 clustering K1 machine learning K1 Hardware K1 Communication hardware, interfaces and storage K1 Sensor devices and platforms K1 Computing methodologies K1 Machine learning SP 58 OP 59 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3079452.3079454 DO https://dl.acm.org/doi/10.1145/3079452.3079454 SF ELIB - SuUB Bremen
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