| Literature DB >> 29726436 |
Heiko Krumm1, Nils Reiss2, Malte Burkert1, Thomas Schmidt2, Steffen Biehs1, Christian Bohr1, Fabian Gürtler1, Hendrik Horn1, Philipp Kreutzer1, Philipp Mewes1, Hendrik Miller1, Christian Riest1, Christian Römer1, Albert Seebold1, Gertrude Sprung1, Oliver Ziegler1.
Abstract
In this paper, we present a system that allows patients who require anticoagulation medicine an opportunity to independently manage their dosage concentration with the help of two machine learning algorithms. The basic idea is to predict the next dosage by using a neuronal network and the model predictive control approach, both based on the history of data already available from patients. This machine learning system is expanded by an smartphone application for the patients, and a website for the doctors to support their patients.Entities:
Keywords: INR self management; anticoagulation therapy; artificial neural network; computer aided dosage; model predictive control; telemedicine
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Year: 2018 PMID: 29726436
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630