Information Support System for Patients with Gestational Diabetes Mellitus
- Authors: Pustozerov E.A.1, Yuldashev Z.M.1, Popova P.V.2, Bolotko Y.A.2, Tkachuk A.S.2
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Affiliations:
- Saint Petersburg Electrotechnical University “LETI”
- Almazov National Medical Research Centre
- Issue: Vol 51, No 6 (2018)
- Pages: 407-410
- Section: Article
- URL: https://journals.rcsi.science/0006-3398/article/view/235342
- DOI: https://doi.org/10.1007/s10527-018-9759-2
- ID: 235342
Cite item
Abstract
We describe here the development of a telemedical system for monitoring diabetes mellitus and providing information to support patients with gestational diabetes mellitus (GDM). Recommendations for preventing postpran-dial glycemia were developed using prognostic models based on experimental data obtained from individual electronic diaries. During testing of a series of models for patients with GDM, the best results were obtained by regression modeling using rules with added instance-based corrections.
About the authors
E. A. Pustozerov
Saint Petersburg Electrotechnical University “LETI”
Author for correspondence.
Email: pustozerov.e@gmail.com
Russian Federation, St. Petersburg
Z. M. Yuldashev
Saint Petersburg Electrotechnical University “LETI”
Email: pustozerov.e@gmail.com
Russian Federation, St. Petersburg
P. V. Popova
Almazov National Medical Research Centre
Email: pustozerov.e@gmail.com
Russian Federation, St. Petersburg
Ya. A. Bolotko
Almazov National Medical Research Centre
Email: pustozerov.e@gmail.com
Russian Federation, St. Petersburg
A. S. Tkachuk
Almazov National Medical Research Centre
Email: pustozerov.e@gmail.com
Russian Federation, St. Petersburg
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