Information Support System for Patients with Gestational Diabetes Mellitus


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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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