Coronavirus disease 2019 (COVID-19): survival analysis using deep learning and Cox regression model-Reference-Cited by-同舟云学术

Coronavirus disease 2019 (COVID-19): survival analysis using deep learning and Cox regression model

Published:2021-02-15 Issue:3 Volume:24 Page:993-1005
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Atlam Mostafa^ORCID,Torkey Hanaa,El-Fishawy Nawal,Salem Hanaa

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s10044-021-00958-0.pdf

Reference26 articles.

1. Salata C, Calistri A, Parolin C, Palù G (2019) Coronaviruses: a paradigm of new emerging zoonotic diseases. Pathog Dis. https://doi.org/10.1093/femspd/ftaa006

2. World Health Organization (2020) Director-General's remarks at the media briefing on 2019-nCoV on 11 February 2020, https://www.who.int/dg/speeches/detail/who-director-general-s-remarks-at-the-media-briefing-on-2019-ncov-on-11-february-2020 Accessed from 1 Apr 2020

3. Fadnavis RA (2019) Application of machine learning for survival analysis- a review. IOSR J Eng (IOSRJEN) 9(5):56–60

4. Cox DR (1975) Partial likelihood. Biometrika 62:269–762

5. Grqnnesby JK, Borgan Q (1996) A method for checking regression models in survival analysis based on the risk score. Lifetime Data Anal 2:315–328

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