A fog-driven IoT e-Health framework to monitor and control Asthma Exacerbation
| Autor: | El Houssine El Mazoudi, Jamila El Alami, Anas Maach |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
Asthma exacerbations business.industry Computer science 010401 analytical chemistry Control (management) 02 engineering and technology Disease medicine.disease 01 natural sciences respiratory tract diseases 0104 chemical sciences Effective solution Quality of life (healthcare) Health care 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing business Internet of Things Intensive care medicine Asthma |
| Zdroj: | WINCOM |
| DOI: | 10.1109/wincom47513.2019.8942540 |
| Popis: | About 339 million people worldwide suffer from asthma, one of the most common chronic diseases among children and adults. The World Asthma Burden Report 2018 reveals that 1,000 people die of asthma every day, which is of great concern because many of these deaths are preventable in an early stage of asthma, especially in low- and middle-income countries where the majority of people do not have access to high quality medical care and medicines. Recently, the use of fog-based health care support systems has proven to be an effective solution for continuous remote monitoring of patient's health, with the benefits of a high quality of life for patients and disease control. In this paper, a framework based on fog and the Internet of Things is proposed to assess the severity of asthma and prevent the risk of asthma exacerbation in this regard, an artificial neural network has been used. Experimental results reveal a high level of accuracy in predicting the risk of asthma exacerbation, and alerts are sent to patients and caregivers in order to control the asthma disease. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|