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http://148.72.244.84/xmlui/handle/xmlui/16109
Title: | Predicting the relative humidity of allergic asthma using GA |
Authors: | Rasha Rokan Ismail |
Keywords: | relative humidity, Artificial intelligence (AI), allergic asthma, A Genetic algorithm GA |
Issue Date: | Jan-2024 |
Series/Report no.: | 15; |
Abstract: | Asthma is a serious chronic disease that affects the airways, and the occurrence of this disease depends on many factors, including psychological ones, and others because of specific foods, and others depend on weather conditions such as the ambient temperature and relative humidity of the air. In this research, the disease was diagnosed by identifying one of its causes, which is air humidity, which is an important factor for exacerbation of asthma, using one of the algorithms of artificial intelligence, which is the genetic algorithms, which depend on the symptoms of the disease and the degree of humidity in the air. . Samples were taken from infected and non-infected people, and the algorithm was applied to them, and the success rate was 95%. |
URI: | http://148.72.244.84/xmlui/handle/xmlui/16109 |
ISSN: | 1998-6424 |
Appears in Collections: | الكتاب السنوي لمركز ابحاث الطفولة والامومة/ Yearbook of the Childhood and Maternal Research Center |
Files in This Item:
File | Description | Size | Format | |
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المجلد-الخامس-عشر-2024 (1)-254-267.pdf | 842.6 kB | Adobe PDF | View/Open |
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