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.
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Acknowledgements
I would sincerely like to thank Mr. Kameshwar Rao JV and my colleagues who encouraged me during this journey.
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Gupta, A. (2019). An Analytical Approach for Asthma Attack Prevention. In: Satapathy, S., Bhateja, V., Somanah, R., Yang, XS., Senkerik, R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 862. Springer, Singapore. https://doi.org/10.1007/978-981-13-3329-3_49
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DOI: https://doi.org/10.1007/978-981-13-3329-3_49
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