Proceedings ArticleDOI
Rule extraction for detection and prevention of asthma attacks
Sajeeda Shikalgar,Surabhi Marathe,Parisa Rai,Divya Nadar +3 more
- pp 437-440
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TLDR
This paper solves the problem of prevention of asthma attacks, and also it can predict a future asthma attack based on prevalent asthma triggers and form an opinion of the everyday condition of the user.Abstract:
This paper solves the problem of prevention of asthma attacks, and also it can predict a future asthma attack based on prevalent asthma triggers. The system forms an opinion of the everyday condition of the user, for example, if the user is doing fine today but might not be fine tomorrow. With the help of neural networks, it is possible to predict precisely and correct the user habits. A user who is not an asthma patient but thinks he may have the disease can also use this system. Monthly reports are generated of every user stating whether the patient's condition has worsened or got better.read more
Citations
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Journal ArticleDOI
Real time detection and forecasting technique for asthma disease using speech signal and DENN classifier
TL;DR: In this paper , a voice signal and an optimum classifier are used to present a real-time detection and forecasting (RTDF) approach for Asthma illness, the suggested RTDF approach employs the improved whale optimization (IWO) algorithm.
Journal ArticleDOI
Design Of Asthma Detection Devices Through Heart Rate and Oxygen Saturation
TL;DR: The results showed that the device was appropriate to use, because in the Medical Devices Testing and Calibration Guidelines of the Ministry of Health of the Republic of Indonesia in 2001, the maximum limit in oxygen saturation error tolerance was 2%, and heart rate was 5%.
Proceedings ArticleDOI
Prospect for Designing Wearable Devices for Children’s Asthma Attack Detection Based on Internet of Things and Cloud Computing
TL;DR: The purpose of this study is to propose the design of wearable-type devices used in children at home to facilitate monitoring of asthma attacks through the internet network.
Book ChapterDOI
An Analytical Approach for Asthma Attack Prevention
TL;DR: Weather, air quality and pollen data are used to predict the probability of asthma attack for taking preemptive action using logistic regression and the proposed solution implemented on environmental datasets achieves 84.2% accuracy.
References
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Proceedings ArticleDOI
Mbreath: Asthma monitoring system on the go
Dalal Al-Dowaihi,Monirah A. Al-Ajlan,Nada Al-Zahrani,Norah Al-Quwayfili,Nouf al-Jwiser,Eiman Kanjo +5 more
TL;DR: A prototype system that allow asthma's patients to self-monitor their symptoms condition and manage their conditions accurately, as well as informing the medics in the case of emergency is presented.
Proceedings ArticleDOI
Application of fuzzy ontological reasoning in an implementation of medical guidelines
TL;DR: It is shown that, despite the fact that commonly used ontology languages and supporting tools are not intended to handle vagueness and uncertainty, they can be successfully integrated to represent and execute a set of fuzzy rules.
Proceedings ArticleDOI
The development of a rule-based asthma system
Goh Kim Nee,Muhammad Azlil Syafiq,Savita K. Sugathan,Chen Yoke Yie,Emelia Akashah Patah Akhir +4 more
TL;DR: A rule-based asthma system provides advice for patients who would like to know the chances of getting an asthma attack are based on the patient's current asthma condition and surrounding environment, and allows patient's self-management to lead a healthy, asthma-free lifestyle.