Machine Learning Approach in Prediction of Asthmatic Attacks and Analysis-Reference-Cited by-同舟云学术

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Machine Learning Approach in Prediction of Asthmatic Attacks and Analysis

Published:2023 Issue: Volume: Page:335-346
ISSN:2367-3370
Container-title:Advances in Data-Driven Computing and Intelligent Systems
language:
Short-container-title:

Author:

Sudha ,Sehrawat Harkesh,Singh Yudhvir,Jaglan Vivek

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-3250-4_26

Reference26 articles.

1. Jain R (2015) Predictive modeling for chronic conditions. Florida Atlantic University

2. Masoli M, Fabian D, Holt S et al (2004) The global burden of asthma: executive summary of the GINA dissemination committee report. Allergy 59(5):469–478

3. Sudha YS, Sehrawat H, Jaglan V (2021) Approach of machine learning algorithms to deal with challenges in wireless sensor network. In: Soft computing: theories and applications: proceedings of SoCTA 2020, vol 1, 1380, 375.Medium. 2022

4. Zhang O, Minku LL, Gonem S (2020) Detecting asthma exacerbations using daily home monitoring and machine learning. J Asthma: 1–10

5. Uddin S et al (2019) Comparing different supervised machine learning algorithms for disease prediction. BMC Med Inf Decis Mak 19(1):1–16

Cited by 1 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. An IoT-Based Asthma Intensity Prediction Using Classification Models;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

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