Igor Korsakov

Lead Data Science Analyst, PhD in Math & Computer Science

Project role

Lead Data Science Analyst, research and development of neural network algorithms, deep learning


Ph.D., 1983 St. Petersburg State University with degree in Applied Mathematics.

Professional achievements

  • 2001 - 2005 - Supervised the development of "Creating a Unified Information System of the Territorial Fund of MHI of St. Petersburg"
  • 2006- 2008 - Supervised the creation of the Unified Distributed Information and Communication Network of the Federal Agency for Federal Property Management (Federal Property Management Agency)
  • 2012-2015 - Development of the "Remote monitoring of human health" system

Scientific work

1989, Ph.D in Computer science

Recent publications:

  • Gavrilov D., Gusev A., Korsakov I., Novitsky R., and Serova L., Feature Extraction Method from Electronic Health Records in Russia, in Proceedings of the FRUCT’26, ISSN 2305-7254, ISBN 978-952-69244-2-7, pp. 497-500, April 2020
  • Korsakov I., Gusev A., Kuznetsova T., Gavrilov D., Novitskiy R. Deep and machine learning models to improve risk prediction of cardiovascular disease using data extraction from electronic health records / European Heart Journal, Volume 40, Issue Supplement_1, October 2019, ehz748.0670
  • Gusev A.V., Gavrilov D.V., Korsakov I.N., Kuznetsova T.Yu., Serova L.M., Novitsky R.E. Prospects for the use of machine learning methods for predicting cardiovascular disease / Physician and Information Technology. 2019. №3. Page 41-47
  • Gusev A.V., Kuznetsova T.Yu., Korsakov I.N. Artificial Intelligence in Risk Assessment of Cardiovascular Diseases / Journal of Telemedicine and E-Health. 2018. No. 3 (8). S. 85-90.
  • Korsakov I.N., Atabaeva V.D. Raznometov D.A. Use of ontology in electrocardiography // Doctor.Ru. 2013. No. 6 (84). S. 71-75.
  • Kuptsov SM, Raznometov DA, Korsakov IN, Feklistov VV, Sumskoy MA On Demand Plugins for X73-PHD Manager, in: 2nd International Conference on Advanced Computing, Engineering and Technology, Malaysia, October 14-15, 2013. Kuala Lumpur: The World Academy Of Research In Science And Engineering, 2013. P. 35-40.
  • Korsakov I. N., Kuptsov S. M., Raznometov D. A., Sumskoy M., Feklistov V. Prototype X73-PHD 3-Lead ECG Device // Egyptian Computer Science Journal. 2013. Vol. 37. No. 7. P. 51-61
  • Shalkovsky A.G., Kuptsov S.M., Korsakov I.N., Atabaeva V.D. Remote monitoring of the health of patients with type 2 diabetes // Doctor.Ru. 2013.No 7 (85). S. 61-64.
  • Korsakov I. N., Kuptsov S. M., Raznometov D. A. Personal Medical Wearable Device for Distance Healthcare Monitoring X73-PHD // International Journal of Scientific & Engineering Research. 2014. Vol. 5. No.1.P.422-429.
  • Vorobyeva E. E., Korsakov I. N., Kuptsov S. M. Using the method of approximating measurement results in a remote monitoring system // In: Innovation Management: Theory, Methodology, Practice: Proceedings of the XIII International Scientific and Practical Conference / Under the total. Ed .: S. Chernova. Novosibirsk: CRNS, 2015.S. 104-110.
  • Vorobeva E.E., Korsakov I.N., Mikhailova A.G. Remote monitoring: information support of a doctor // Russian Scientific Journal. 2015. No3. S.336338.
  • Kuptsov S. M., Korsakov I. N., Atabaeva V. D., Raznometov D. A. The choice of mobile electrocardiographs for the remote monitoring system "Health Monitor" // Cardiology. 2014. No. 7 (95). S.19-22.
  • Bibliographic data: SPIN code: 2583-3310, AuthorID: 352381, https: //elibrary.ru/author_profile.asp? Id = 352381

Main area of ​​professional interest

Machine learning, neural networks, NLP.

SPIN-код: 2583-3310

AuthorID: 352381

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