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Epileptic Seizure Detection Using CNN Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Machine Learning Based Prediction of H1N1 and Seasonal Flu Vaccination

Authors : Srividya Inampudi, Greshma Johnson, Jay Jhaveri, S. Niranjan, Kuldeep Chaurasia, Mayank Dixit

Published in: Advanced Computing

Publisher: Springer Singapore

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Abstract

The H1N1 Flu that came into existence in 2009 had a great impact on the lives of people around the world. It was a life-threatening season to hundreds of people mainly below 65 years old which eventually made the World Health Organization (WHO) to declare it as the greatest pandemic in more than 40 years. To find out the vaccination status National 2009 H1N1 Flu Survey (NHFS) was conducted in U.S. In this paper, the data from the above survey was used to develop a model that predicts how likely people got H1N1 and seasonal flu vaccine. For this purpose, various Machine Learning (ML) and Artificial Neural Network (ANN) models are used to determine the probability of person receiving H1N1 and Seasonal Flu vaccine.

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Metadata
Title
Machine Learning Based Prediction of H1N1 and Seasonal Flu Vaccination
Authors
Srividya Inampudi
Greshma Johnson
Jay Jhaveri
S. Niranjan
Kuldeep Chaurasia
Mayank Dixit
Copyright Year
2021
Publisher
Springer Singapore
Book
Advanced Computing

Print ISBN: 978-981-16-0400-3

Electronic ISBN: 978-981-16-0401-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-16-0401-0_11

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