Identification of risk factors for mortality associated with COVID-19
Objectives Coronavirus Disease 2019 (COVID-19) has become a pandemic outbreak. Risk stratification at hospital admission is of vital importance for medical decision making and resource allocation. There is no sophisticated tool for this purpose. This study aimed to develop neural network models with...
Main Authors: | Yuetian Yu, Cheng Zhu, Luyu Yang, Hui Dong, Ruilan Wang, Hongying Ni, Erzhen Chen, Zhongheng Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2020-09-01
|
Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/9885.pdf |
Similar Items
-
An Evolutionary Fake News Detection Method for COVID-19 Pandemic Information
by: Bilal Al-Ahmad, et al.
Published: (2021-06-01) -
Alteration of serum markers in COVID‐19 and implications on mortality
by: Dan Liu, et al.
Published: (2020-07-01) -
Genetic Risk Prediction of COVID-19 Susceptibility and Severity in the Indian Population
by: P. Prakrithi, et al.
Published: (2021-10-01) -
Major Characteristics of Severity and Mortality in Diabetic Patients With COVID-19 and Establishment of Severity Risk Score
by: Yu-Feng Xiao, et al.
Published: (2021-06-01) -
Mortality Predictors in Covid-19 Positive Patients with Fractures: A Systematic Review
by: Arvind Kumar, et al.
Published: (2021-04-01)