On a Question of the Information Technology Construction Based on Self-learning Medicine Intelligent System

DOI

10.2991/itsmssm-16.2016.14How to use a DOI?

Keywords

Information technology, intelligent system, self-learning, bronchial asthma, pattern recognition, decision-making, justification decision-making, cognitive tools, artificial intelligence, machine learning

Abstract

A main construction approaches of an information technology-based self-learning intelligent system are described in the paper. The technology is designed to increase the accuracy of the differential diagnosis of bronchial asthma by using self-learning principle. Optimal combination of different approaches from mathematic, pattern recognition, probability theory, mathematical statistics, artificial intelligence and machine learning is the basis of the intelligent system.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Anna Yankovskaya
AU  - Ivan Gorbunov
AU  - Ilya Hodashinsky
AU  - Georgiy Chrnogoryuk
PY  - 2016/05
DA  - 2016/05
TI  - On a Question of the Information Technology Construction Based on Self-learning Medicine Intelligent System
BT  - Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
SP  - 63
EP  - 69
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-16.2016.14
DO  - 10.2991/itsmssm-16.2016.14
ID  - Yankovskaya2016/05
ER  -