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

Education

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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