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An Analytical Approach for Asthma Attack Prevention

  • Aakash Gupta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 862)

Abstract

Asthma patients sometimes immediately need medical attention due to sudden breath loss or asthma attack. An analytical approach is proposed in this paper to prevent a patient from asthma attack. Weather, air quality and pollen data are used to predict the probability of asthma attack for taking preemptive action using logistic regression. The proposed solution implemented on environmental datasets and it achieves 84.2% accuracy.

Keywords

Logistic regression Asthma patient alert system Asthma attack prediction 

Notes

Acknowledgements

I would sincerely like to thank Mr. Kameshwar Rao JV and my colleagues who encouraged me during this journey.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.HCL TechnologiesPuneIndia

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