Machine Learning Models for Early Prediction of Asthma Attacks Based on Bio-signals and Environmental Triggers-Reference-Cited by-同舟云学术

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Machine Learning Models for Early Prediction of Asthma Attacks Based on Bio-signals and Environmental Triggers

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)
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Author:

Alharbi Eman¹,Cherif Asma²,Nadeem Farrukh¹,Mirza Tariq³

Affiliation:

1. King Abdulaziz University,Department of Information Systems,Jeddah,Saudi Arabia

2. King Abdulaziz University,Department of Information Technology,Jeddah,Saudi Arabia

3. Academy-Makkah Healthcare, Ministry of Health,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10017434/10017304/10017305.pdf?arnumber=10017305

Reference30 articles.

1. Predicting the risk of an asthma attack: the way ahead?

2. Early detection of asthma exacerbations by using action points in self-management plans

3. Prediction of asthma exacerbations among children through integrating air pollution, upper atmosphere, and school health surveil-lances;jayawardene;Allergy and Asthma Proceedings,2013

4. Outdoor air pollution and asthma

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review;Journal of Medical Systems;2024-05-13

2. Adaptive Smart eHealth Framework for Personalized Asthma Attack Prediction and Safe Route Recommendation;Smart Cities;2023-10-20

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