iipp publishingJournal of Applied Engineering Science

REVIEW OF THE BIG DATA TECHNOLOGY USE IN THE MEDICAL PROGNOSIS


DOI: 10.5937/jaes16-19634
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License

Volume 16 article 563 pages: 553 - 560

Igor Koltunov*
Moscow Polytechnic University, Moscow, Russian Federation

Anton V. Panfilov
Tradition group LTD, Moscow, Russian Federation

Ivan A. Poselsky
Moscow Polytechnic University, Moscow, Russian Federation

Nikolay N. Chubukov
Tradition group LTD, Moscow, Russian Federation

Stanislav S. Matkov
Tradition group LTD, Moscow, Russian Federation

The article shows the main aspects and problematics of elaborating effective models of current diagnostics and diagnostic prognosis of the patient’s health status, who is an object of non–invasive monitoring, based on the current analysis of characteristic combinations of his/her vital signs on nosology and the results of long–term collecting, processing and semantic classifying the biomedical data.

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