This paper reports the results of investigating the impacts of weather and personalisation on asthma exacerbations. Additionally, several machine learning classification algorithms were applied and evaluated to develop an intelligent mHealth solution that can offer accurate personalised estimations of asthma exacerbations based on weather and demography and provide tailored precautionary guidelines for selfcare to each user. Consequently, the proposed solution will enhance asthma self-management by assisting patients with chronic asthma to plan their daily outdoor activities and limit exposure to weather triggers, thus controlling their asthma exacerbations
Monitoring asthma is essential for self-management. However, traditional monitoring methods require ...
Asthma is a common chronic health condition affecting millions of people in the United States. While...
There is increasing recognition that asthma and eczema are heterogeneous diseases. We investigated t...
Asthma is a common chronic disease that affects people from all age groups around the world. Althoug...
Weather-Based Healthcare (WBH) means self-management of chronic diseases that are affected by weath...
Background – Recently, there have been attempts to develop mHealth applications for asthma self-mana...
Enhancing personalisation is important for productive collaboration between humans and machines. Thi...
Objective: The ability to predict impending asthma exacerbations may allow better utilization of hea...
While there have been several efforts to use mHealth technologies to support asthma management, none...
Using information contained in the electronic health records of asthma patients, we use an automated...
Background: Asthma is a variable long-term condition. Currently, there is no cure for asthma and the...
[[abstract]]A decision support system based on multiplayer perceptron was developed to indicate the ...
In this paper, we present an asthma risk prediction tool based on machine learning (ML). The entire ...
INTRODUCTION: Supported self-management empowering people with asthma to detect early deterioration ...
One of the main problems in poorly controlled asthma is the access to the Emergency Department (ED)....
Monitoring asthma is essential for self-management. However, traditional monitoring methods require ...
Asthma is a common chronic health condition affecting millions of people in the United States. While...
There is increasing recognition that asthma and eczema are heterogeneous diseases. We investigated t...
Asthma is a common chronic disease that affects people from all age groups around the world. Althoug...
Weather-Based Healthcare (WBH) means self-management of chronic diseases that are affected by weath...
Background – Recently, there have been attempts to develop mHealth applications for asthma self-mana...
Enhancing personalisation is important for productive collaboration between humans and machines. Thi...
Objective: The ability to predict impending asthma exacerbations may allow better utilization of hea...
While there have been several efforts to use mHealth technologies to support asthma management, none...
Using information contained in the electronic health records of asthma patients, we use an automated...
Background: Asthma is a variable long-term condition. Currently, there is no cure for asthma and the...
[[abstract]]A decision support system based on multiplayer perceptron was developed to indicate the ...
In this paper, we present an asthma risk prediction tool based on machine learning (ML). The entire ...
INTRODUCTION: Supported self-management empowering people with asthma to detect early deterioration ...
One of the main problems in poorly controlled asthma is the access to the Emergency Department (ED)....
Monitoring asthma is essential for self-management. However, traditional monitoring methods require ...
Asthma is a common chronic health condition affecting millions of people in the United States. While...
There is increasing recognition that asthma and eczema are heterogeneous diseases. We investigated t...