PERSPECTIVE OF AZURE MACHINE LEARNING IN MEDICAL RESEARCH

Authors

  • V. O. Novikov Herson National Technical University
  • S. M. Zlepko Vinnytsia National Technical University
  • K. S. Navrotska Vinnytsia National Technical University

Keywords:

hemogram, Machine Learning, mathematical model

Abstract

There has been considered the example of a mathematical model of machine learning in diagnosis of hemogram. The evaluation model has been concluded.

Author Biographies

V. O. Novikov, Herson National Technical University

Cand. Sc. (Eng.), Senior Lecturer of the Chair of Information and Measuring Technology and Electronics Engineering

S. M. Zlepko, Vinnytsia National Technical University

Dr. Sc. (Eng,), Professor, Head of the Chair of Design of Biomedical Equipment

K. S. Navrotska, Vinnytsia National Technical University

Post-Graduate Student of the Chair of Design of Biomedical Equipment

References

1. Markatou Xu H. Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues / Xu H. Markatou, M. R. Dimova, Liu. H. Friedman // BMC bioinformatics. — 2006. — No. 7 (1). — P. 14—20.
2. Bocci V. A. Archives of Medical Research / V. A. Bocci // Scientific and Medical Aspects of Ozone Therapy. — 2006. — No. 37 (4), — P. 425—435.
3. Novikov V. Potential influence of wireless Wi-Fi networks for the digestive function of a stomach / V. Novikov,
A. Borsuk, V. Glazkova // 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET). IEEE. — 2016.

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Abstract views: 110

Published

2016-12-06

How to Cite

[1]
V. O. Novikov, S. M. Zlepko, and K. S. Navrotska, “PERSPECTIVE OF AZURE MACHINE LEARNING IN MEDICAL RESEARCH”, Вісник ВПІ, no. 5, pp. 93–97, Dec. 2016.

Issue

No. 5 (2016)

Section

Information technologies and computer sciences

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