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Machine Learning-Based Asthma Risk Prediction Using IoT and Smartphone Applications

  • Published:2021 Issue: Volume:9 Page:118708-118715
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Bhat Gautam S.,Shankar NikhilORCID,Kim DohyeongORCID,Song Dae JinORCID,Seo SungchulORCID,Panahi Issa M. S.ORCID,Tamil LakshmanORCID

Funder

Environmental Health Action Program

Quality of Life Technology Laboratory, University of Texas at Dallas, USA

Research of Korea Centers for Disease Control and Prevention, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 12 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. Review On: Pediatric Asthma Care with IoT Continuous Air Quality Monitoring and Wearable Sensing Technology;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

2. Tools for Analysis of Treatment Dynamics and Outcomes for Personalized Medicine in Asthma;2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT);2023-10-18

3. RDN-NET: A Deep Learning Framework for Asthma Prediction and Classification Using Recurrent Deep Neural Network;International Journal of Image and Graphics;2023-07-13

4. An IoT-Based Wearable Labor Progress Monitoring System for Remote Evaluation of Admission Time to Hospital;IEEE Journal of Biomedical and Health Informatics;2023-06

5. RespoBot: Chatbot used for the prediction of diseases using Machine Learning and Deep Learning with respect to Covid-19;2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2023-05-25
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