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Author

Aakash Gupta

Bio: Aakash Gupta is an academic researcher from HCL Technologies. The author has contributed to research in topics: Asthma. The author has co-authored 1 publications.
Topics: Asthma

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Book ChapterDOI
Aakash Gupta1
01 Jan 2019
TL;DR: Weather, air quality and pollen data are used to predict the probability of asthma attack for taking preemptive action using logistic regression and the proposed solution implemented on environmental datasets achieves 84.2% accuracy.
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.