Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence
| Autor: | Pavel Kozhin, Georgy Lebedev, Igor Fartushnyi, Herman Klimenko, Vadim V. Tarasov, Evgeniy Morozov, Irina Fomina, Ilya Ryabkov, Konstantin Koshechkin, Eduard Fartushnyi, I.A. Shaderkin |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science 020206 networking & telecommunications 02 engineering and technology Evidence-based medicine intellectual systems text mining Medical decision making Article Text mining Work (electrical) 0202 electrical engineering electronic engineering information engineering Information system General Earth and Planetary Sciences 020201 artificial intelligence & image processing Christian ministry Russian federation Artificial intelligence medical decision support systems business evidence-based medicine General Environmental Science |
| Zdroj: | Procedia Computer Science KES |
| ISSN: | 1877-0509 |
| Popis: | Currently, Medical errors are a serious problem when examining patients. Creating information systems that use the capabilities of evidence-based medicine and artificial intelligence methods will allow the doctor to make an informed and proven decision. In this article, the authors offer a description of an information system that solves the problem of supporting medical decision making based on evidence-based medicine. This is achieved by using artificial intelligence methods. This work was supported by a grant from the Ministry of Education and Science of the Russian Federation, a unique project identifier RFMEFI60819X0278. |
| Databáze: | OpenAIRE |
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