Identification of hospitalized mortality of patients with COVID-19 by machine learning models based on blood inflammatory cytokines

Z Yu, X Li, J Zhao, S Sun - Frontiers in Public Health, 2022 - frontiersin.org
Coronavirus disease 2019 (COVID-19) spread worldwide and presented a significant threat
to people's health. Inappropriate disease assessment and treatment strategies bring a heavy …

Reliable and interpretable mortality prediction with strong foresight in COVID-19 patients: an international study from China and Germany

T Bai, X Zhu, X Zhou, D Grathwohl, P Yang… - Frontiers in Artificial …, 2021 - frontiersin.org
Cohort-independent robust mortality prediction model in patients with COVID-19 infection is
not yet established. To build up a reliable, interpretable mortality prediction model with …

Predictive model for mortality in severe COVID-19 patients across the six pandemic waves

N Casillas, A Ramón, AM Torres, P Blasco, J Mateo - Viruses, 2023 - mdpi.com
The impact of SARS-CoV-2 infection remains substantial on a global scale, despite
widespread vaccination efforts, early therapeutic interventions, and an enhanced …

Machine learning-based ensemble approach for predicting the mortality risk of COVID-19 patients: a case study

K Kumar - Intelligent Data Analysis for COVID-19 Pandemic, 2021 - Springer
Recent outbreak of the COVID-19 pandemic in December 2019 has witnessed a rapid
spread from Wuhan, China, to all over the world. This highly transmittable infectious disease …

Machine learning algorithms for predicting COVID-19 mortality in Ethiopia

MS Alie, Y Negesse, K Kindie, DS Merawi - BMC Public Health, 2024 - Springer
Abstract Background Coronavirus disease 2019 (COVID-19), a global public health crisis,
continues to pose challenges despite preventive measures. The daily rise in COVID-19 …

Machine learning successfully detects COVID-19 patients prior to PCR results and predicts their survival based on standard laboratory parameters

F Styrzynski, D Zhakparov, M Schmid… - Available at SSRN …, 2022 - papers.ssrn.com
Background: In the current pandemic, oversaturation of hospitals with patients with SARS-
CoV-2 infection-like symptoms and an excess of hospitalized COVID-19 patients led to a …

Comparing machine learning algorithms for predicting COVID-19 mortality

K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …

A methodological showcase: utilizing minimal clinical parameters for early-stage mortality risk assessment in COVID-19-positive patients

JK Yan - PeerJ Computer Science, 2024 - peerj.com
The scarcity of data is likely to have a negative effect on machine learning (ML). Yet, in the
health sciences, data is diverse and can be costly to acquire. Therefore, it is critical to …

COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African …

B Mamandipoor, RR Bruno, B Wernly, G Wolff… - PLOS digital …, 2022 - journals.plos.org
Background COVID-19 remains a complex disease in terms of its trajectory and the diversity
of outcomes rendering disease management and clinical resource allocation challenging …

A robust innovative pipeline-based machine learning framework for predicting COVID-19 in Mexican Patients

R Farnoosh, K Abnoosian - … Journal of System Assurance Engineering and …, 2024 - Springer
The emergence of COVID-19 in late 2019 in Wuhan, China, has led to a global health crisis
that has claimed many lives worldwide. A thorough understanding of the available COVID …