Publications

194

Healthcare in the smartphone: the situation in Russia

 Gusev A.V., Ivshin A.A., Vladzimirskiy A.V.

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212

COVID-19 pandemic prediction model based on machine learning in selected regions of the Russian Federation

D.V. Gavrilov, R.V. Abramov,  А.V. Kirilkina, А.А. Ivshin,   R.E. Novitskiy

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128

Predicting preeclampsia using artificial intelligence technologies

 A. A Ivshin, T. Z. Bagaudin, A.V. Gusev

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161

Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy

Pavlovskii V.V., Derevitskii I.V., Kovalchuk S.V.

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403

Prevalence of chronic kidney disease according to the CKD Epidemiology retrospective cohort study (Kirov city)

Batiushin M.M. , Kasimova I.S.,Gavrilov D.V. , Gysev A.V., Gulamov A.A.

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487

Ethics and digital: from problems to solutions

Arkhipov A.V., Gusev A.V., Orlova A.A.

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653

Retrospective analysis of electronic health records of patients with heart failure: the first Russian experience

Gilyarevsky S.R., Gavrilov D.V., Gusev A.V.

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493

Artificial intelligence on guard of reproductive health

A.A. Ivshin, T.Z. Bagaudin, A.V. Gusev

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805

Correctness of cardiovascular risk assessment in daily clinical practice

D.V. Gavrilov, A.V. Gusev, A.V. NIKULINA1, T.Yu. Kuznetsova, O.M. Drapkina

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1 017

Legal regulation of artificial intelligence software in healthcare in the Russian Federation

Gusev AV, Morozov SP, Kutichev VA, Novitsky RE.

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1 170

Artificial intelligence: predictive analytics of perinatal risks

Ivshin A.A., Gusev A.V., Novitskiy R.E.

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1 346

Predictive analytics technologies in the management of the COVID-19 pandemic

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1 134

Algorithm for forming a suspicion of a new coronavirus infection based on the analysis of symptoms for use in medical decision support systems

Gavrilov D.V., Kirilkina A. V.2, Serova L. M.

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1 140

CARDIOVASCULAR DISEASES PREDICTION BY INTEGRATED RISK FACTORS ASSESSMENT BY MEANS OF MACHINE LEARNING

D. Gavrilov; L. Serova, I. Korsakov,  A. Gusev, R. Novitsky, T. Kuznetsova

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1 075

Adapting neural network models to predict 10-year CVD development based on regional data calibration

I. Korsakov, D. Gavrilov, L. Serova, A. Gusev, R. Novitskiy, T. Kuznetsova

 

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1 024

Feature Extraction Method from Electronic Health Records in Russia

Gavrilov D., Gusev A., Korsakov I., Novitsky R., Serova L.

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829

Deep and machine learning models to improve risk prediction of cardiovascular disease using data extraction from electronic health records

Authors: Korsakov I., Gusev A., Kuznetsova T., Gavrilov D., Novitskiy R.

European Heart Journal • Volume 40 • Issue Supplement_1 • October 2019
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867

Prospects for the use of machine learning methods for predicting cardiovascular disease

Authors: Gusev A. V., Gavrilov D. V., Korsakov I. N., Serova L. M., Novitsky R. E., Kuznetsova T.Yu.

Information technologies for the Physician • №3 2019
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951

Artificial intelligence for cardiovascular risks assessment

Authors: Gusev A.V., Kuznetsova T.Yu., Korsakov I.N.

Journal of Telemedicine and E-Health • №3 2018
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1 218

The basic recommendations for the creation and development of information systems in health care based on artificial intelligence

Authors: Gusev A.V., Pliss M.A.

Information technologies for the Physician * №3 2018
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1 105

Artificial Intelligence in Medicine and Healthcare

Authors: Gusev A.V., Dobridnyuk S.L.

INFORMATION SOCIETY* №4 2017
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969

Prospects for neural networks and deep machine Learning in creating health solutions

Authors: Gusev A.V.

Information technologies for the Physician *№3 2017
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1 345

Clinical Decisions Support in medical information systems of a medical organization

Authors: Gusev A. V., Zarubina T. V.

Information technologies for the Physician * №2 2017
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