Predicting the relative humidity of allergic asthma using GA
AbstractAsthma 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. Examples were extracted from contaminated and also non-infected individuals, and also the formula was related to them as well as the success price was 95%. |
Full Text:
References
REFERENSI
"Prediction of Asthma Exacerbation uses Genetic Algorithm and Artificial Neural Network" by M. V. Ramana Murthy and K. Satya Prasad, published in the Journal of Medical Systems in 2013.
"Genetic Algorithm-Based Feature Selection for Predicting Asthma Hospitalizations" by M. V. Ramana Murthy and K. Satya Prasad, published in the Journal of Medical Systems in 2015.
"Predicting Asthma Exacerbation using Environmental Factors and Machine Learning Techniques" by F. Kianipour and S. S. Annavarapu, published in the Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine in 2019.
"The Predictive Role of Biomarkers and Genetics in Childhood Asthma Exacerbations" by E. di Palmo, E. Cantarelli, and others, published in International Journal of Molecular Sciences, 2021.
"Relationship between biometeorological factors and the number of hospitalizations due to asthma", by A. Romaszko-Wojtowicz, I. Cymes and others, published in scientific reports, 2020.
" Predicting asthma attacks using connected mobile devices and machine learning: the AAMOS-00 observational study protocol", by K. Cheuk Him Tsang, H. Pinnock and others, published in BMJ Journals, 2022.
"Biomarkers for diagnosis and prediction of therapy responses in allergic diseases and asthma", by H. Breiteneder, Y. Peng and others, published in Allergy, journal of the European Academy of Allergy and Clinical Immunology (EAACI), 2020.
"Artificial Intelligence techniques in Asthma:A systematic review and critical appraisal of the existing literature", by K. P. Exarchos, M. Beltsiou and others, published in European Respiratory Journal, 2020.
"Asthma triggered by extreme temperatures: From epidemiological evidence to biological plausibility", by A. Han, S. Deng and others, published in journal of the Environmental Research, 2023.
"Mobile GIS-based monitoring asthma attacks based on environmental factors", by R. Khasha a, M. Mehdi Sepehri and others, published in Journal of Cleaner Production, 2018.
" Asthma and Allergy: Unravelling a Tangled Relationship with a
Focus on New Biomarkers and Treatment", by P. Rodriguez del Rio, A. H. Liu and others, published in International Journal of Molecular Sciences, 2022.
" Predicting Asthma Attacks: Effects of Indoor PM Concentrations on Peak Expiratory Flow Rates of Asthmatic Children", by D. KIM, S. CHO and others, published in IEEE Access, 2020.
"Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease", by Y. Feng, Y. Wang, published in International Journal of Medical Sciences, 2021.
"Cross-Disciplinary Consultancy to Enhance Predictions of Asthma Exacerbation Risk in Boston", by M. Reid, J. Gunn, published by Journal of Public Health Informatics, 2016.
"Biomolecolar markers in assessment and treatment of asthma", by F. farnaz and others, published by Asian pacific Society of Respirology, 2014.
"Artificial Intelligence techniques in Asthma: A systematic review and critical appraisal of the existing literature", by P. konstatinos and others, published by European Respiratory journal, 2020.
| 10.33650/jeecom.v6i2.8548 |
|
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Rasha Rokan Ismail
