Fast COVID-19 versus H1N1 screening using Optimized Parallel Inception

作者：

Highlights：

• The first model to fast screen patients of coincident COVID-19 and H1N1 pandemics.

• A novel Optimized Parallel Inception model to fast screen COVID-19 and H1N1 patients.

• A Semi-supervised Generative Adversarial Network to address the smaller size of data.

• The most significant features in COVID-19 versus H1N1 screening are identified.

• The model helps the healthcare providers in pandemics by rapid screening.

摘要

•The first model to fast screen patients of coincident COVID-19 and H1N1 pandemics.•A novel Optimized Parallel Inception model to fast screen COVID-19 and H1N1 patients.•A Semi-supervised Generative Adversarial Network to address the smaller size of data.•The most significant features in COVID-19 versus H1N1 screening are identified.•The model helps the healthcare providers in pandemics by rapid screening.

论文关键词：COVID-19,Coronavirus,H1N1 virus,Outbreak,Screening,Deep learning

论文评审过程：Received 14 August 2021, Revised 3 May 2022, Accepted 7 May 2022, Available online 20 May 2022, Version of Record 27 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117551