Fuzzy prediction and early detection of stomach diseases by means of combined iteration fuzzy models
| Autor: | Elena Boitсova, Florin Ionescu, Riad Taha Al-Kasasbeh, Etab Taha Al-Kasasbeh, Mahdi Salman Alshamasin, Nikolay Aleexevich Korenevskiy |
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| Rok vydání: | 2019 |
| Předmět: |
Fuzzy prediction
Computer science business.industry 0206 medical engineering Biomedical Engineering Medical practice Early detection 030229 sport sciences 02 engineering and technology Decision rule Machine learning computer.software_genre 020601 biomedical engineering Outcome (game theory) Fuzzy logic 03 medical and health sciences Inheritance (object-oriented programming) 0302 clinical medicine Feature (computer vision) Artificial intelligence business computer |
| Zdroj: | International Journal of Biomedical Engineering and Technology. 30:228 |
| ISSN: | 1752-6426 1752-6418 |
| DOI: | 10.1504/ijbet.2019.100694 |
| Popis: | The work discusses aspects of decision rule synthesis for prediction and early diagnostics of stomach diseases. The distinguishing feature of heterogeneous fuzzy rules of decision making is the fact that they use information about the energetic condition of biologically active points and also features traditionally used in medical practice such as alcohol consumption, smoking tobacco, inheritance, etc. Use of different types of the original data allows us to provide diagnostic efficiency in decisions at the level 0.9 or greater, which makes it possible to recommend the research outcome for medical practice. |
| Databáze: | OpenAIRE |
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