ArticleScientific reports2020
A prediction model of outcome of SARS-CoV-2 pneumonia based on laboratory findings.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence for COVID-19: A Systematic Review.Frontiers in medicine · 2021Pooled it
- Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach.Biomolecules & biomedicine · 2025Article
- Development Of the VAMPCT Score for Predicting Mortality in CKD Patients with COVID-19.International journal of medical sciences · 2025Article
- Novel insight into prediction model for sleep quality among college students: a LASSO-derived sleep evaluation.Frontiers in psychiatry · 2025Article
- New cardiovascular events in the convalescent period among survivors of SARS-CoV-2 infection.International journal of stroke : official journal of the International Stroke Society · 2023Article
- Predicting In-Hospital Mortality in Severe COVID-19: A Systematic Review and External Validation of Clinical Prediction Rules.Biomedicines · 2022Article
- An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples.Sensors (Basel, Switzerland) · 2022Article
- Pandemic strategies with computational and structural biology against COVID-19: A retrospective.Computational and structural biotechnology journal · 2022Review
- Clinical informatics solutions in COVID-19 pandemic: Scoping literature review.Informatics in medicine unlocked · 2022Article
- Association between gastrointestinal symptoms and disease severity in patients with COVID-19 in Tehran City, Iran.Przeglad gastroenterologiczny · 2022Article
- Deep Learning-Based Automatic Assessment of Lung Impairment in COVID-19 Pneumonia: Predicting Markers of Hypoxia With Computer Vision.Frontiers in medicine · 2022Article
- Artificial intelligence-driven assessment of radiological images for COVID-19.Computers in biology and medicine · 2021Review
- Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19.Pathogens (Basel, Switzerland) · 2021Review
- Learning From Biological and Computational Machines: Importance of SARS-CoV-2 Genomic Surveillance, Mutations and Risk Stratification.Frontiers in cellular and infection microbiology · 2021Article
- Temporal Associations of the SARS-CoV-2 NP Antigen and Anti-Spike Total Ig Levels with Laboratory Parameters in a Greek Cohort of Hospitalized COVID-19 Patients.Canadian respiratory journal · 2021Article
- Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review.Computational and structural biotechnology journal · 2021Review
- Ensemble learning model for diagnosing COVID-19 from routine blood tests.Informatics in medicine unlocked · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in thousands of deaths in the world. Information about prediction model of prognosis of SARS-CoV-2 infection is scarce. We used machine learning for processing laboratory findings of 110 patients with SARS-CoV-2 pneumonia (including 51 non-survivors and 59 discharged patients). The maximum relevance minimum redundancy (mRMR) algorithm and the least absolute shrinkage and selection operator logistic regression model were used for selection of laboratory features. Seven laboratory features selected in the model were: prothrombin activity, urea, white blood cell, interleukin-2 receptor, indirect bilirubin, myoglobin, and fibrinogen degradation products. The signature constructed using the seven features had 98% [93%, 100%] sensitivity and 91% [84%, 99%] specificity in predicting outcome of SARS-CoV-2 pneumonia. Thus it is feasible to establish an accurate prediction model of outcome of SARS-CoV-2 pneumonia based on laboratory findings.
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Registered trials
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