Literature DB >> 29726436

Development of a Computer-Aided Dosage and Telemonitoring System for Patients Under Oral Anticoagulation Therapy.

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

Mesh:

Substances:

Year:  2018        PMID: 29726436

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

Review 1.  Technology Advancements in Blood Coagulation Measurements for Point-of-Care Diagnostic Testing.

Authors:  Mohammad Mohammadi Aria; Ahmet Erten; Ozlem Yalcin
Journal:  Front Bioeng Biotechnol       Date:  2019-12-11

Review 2.  Smartphone Apps for Managing Antithrombotic Therapy: Scoping Literature Review.

Authors:  Friederike Praus; Bartosz Krzowski; Tabea Walther; Christian Gratzke; Paweł Balsam; Arkadiusz Miernik; Philippe Fabian Pohlmann
Journal:  JMIR Cardio       Date:  2022-06-21

Review 3.  Technology-Based Interventions in Oral Anticoagulation Management: Meta-Analysis of Randomized Controlled Trials.

Authors:  Hengfen Dai; Caiyun Zheng; Chun Lin; Yan Zhang; Hong Zhang; Fan Chen; Yunchun Liu; Jingwen Xiao; Chaoxin Chen
Journal:  J Med Internet Res       Date:  2020-07-15       Impact factor: 5.428

  3 in total

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