Predicting adherence of patients with HF through machine learning techniques

Heart failure (HF) is a chronic disease characterised by poor quality of life, recurrent hospitalisation and high mortality. Adherence of patient to treatment suggested by the experts has been proven a significant deterrent of the above-mentioned serious consequences. However, the non-adherence rate...

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Detalhes bibliográficos
Publicado no:Healthc Technol Lett
Main Authors: Karanasiou, Georgia Spiridon, Tripoliti, Evanthia Eleftherios, Papadopoulos, Theofilos Grigorios, Kalatzis, Fanis Georgios, Goletsis, Yorgos, Naka, Katerina Kyriakos, Bechlioulis, Aris, Errachid, Abdelhamid, Fotiadis, Dimitrios Ioannis
Formato: Artigo
Idioma:Inglês
Publicado em: The Institution of Engineering and Technology 2016
Assuntos:
Special Issue: mHealth: Emerging Mobile Health Systems and Services
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5048333/
https://ncbi.nlm.nih.gov/pubmed/27733922
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/htl.2016.0041
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