Intensified analysis and comparison of 5 flacicirus with the use of decision tree and support vector machine (SVM)
Autor: | Bokyung Gu, Eujin Yang, Taeseon Yoon |
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Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Computer science viruses 030106 microbiology Decision tree Dengue virus medicine.disease_cause Machine learning computer.software_genre Zika virus 03 medical and health sciences medicine biology business.industry Decision tree learning Yellow fever Tick-borne encephalitis virus diseases biochemical phenomena metabolism and nutrition medicine.disease biology.organism_classification Support vector machine Flavivirus Artificial intelligence business computer |
Zdroj: | 2017 19th International Conference on Advanced Communication Technology (ICACT). |
DOI: | 10.23919/icact.2017.7890146 |
Popis: | Flavivirus is spreaded with the help of intermediary, especially mosquitoes. In preceding research, we found out that Leucine has high frequency. Wanting to know specific relationship between 5 flaviviruses; Yellow fever, West Nile virus, Dengue virus, Tick borne encephalitis, decision tree and support vector machine algorithm were used. Analyzing results of the algorithms, difference or similarity about the viruses and a group as flavivirus were found. |
Databáze: | OpenAIRE |
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