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Predicting adherence of patients with HF through machine le..:
Karanasiou, Georgia Spiridon
;
Tripoliti, Evanthia Eleftherios
;
Papadopoulos, Theofilos Grigorios
...
Healthcare Technology Letters. 3 (2016) 3 - p. 165-170 , 2016
Link:
https://doi.org/10.1049/htl.2016.0041
RT Journal T1
Predicting adherence of patients with HF through machine learning techniques
UL https://suche.suub.uni-bremen.de/peid=cr-10.1049_htl.2016.0041&Exemplar=1&LAN=DE A1 Karanasiou, Georgia Spiridon A1 Tripoliti, Evanthia Eleftherios A1 Papadopoulos, Theofilos Grigorios A1 Kalatzis, Fanis Georgios A1 Goletsis, Yorgos A1 Naka, Katerina Kyriakos A1 Bechlioulis, Aris A1 Errachid, Abdelhamid A1 Fotiadis, Dimitrios Ioannis PB Institution of Engineering and Technology (IET) YR 2016 SN 2053-3713 SN 2053-3713 JF Healthcare Technology Letters VO 3 IS 3 SP 165 OP 170 LK http://dx.doi.org/https://doi.org/10.1049/htl.2016.0041 DO https://doi.org/10.1049/htl.2016.0041 SF ELIB - SuUB Bremen
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