ArticleComputers in biology and medicine2021
Biomarkers of severe COVID-19 pneumonia on admission using data-mining powered by common laboratory blood tests-datasets.
Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- Biomarkers for SARS-CoV-2 infection. A narrative review.Frontiers in medicine · 2025Review
- Red cell distribution width-to-platelet ratio (RPR) as a predictor of prolonged stay at hospital for COVID-19 inpatients.Future science OA · 2024Article
- Insights into the baseline blood pH homeostasis at admission and the risk of in-hospital mortality in COVID-19 patients.Biomarkers in medicine · 2024Article
- Discovering associations between radiological features and COVID-19 patients' deterioration.Health science reports · 2023Article
- Whale optimization with random contraction and Rosenbrock method for COVID-19 disease prediction.Biomedical signal processing and control · 2023Article
- Predictive models for COVID-19 detection using routine blood tests and machine learning.Heliyon · 2022Review
- Predicting Blood Parasite Load and Influence of Expression of iNOS on the Effect Size of Clinical Laboratory Parameters in AcuteFrontiers in immunology · 2022Article
- Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression.Computers in biology and medicine · 2021Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the epidemiological COVID-19 research, artificial intelligence is a unique approach to make predictions about disease severity to manage COVID-19 patients. A limitation of artificial intelligence is, however, the high risk of bias. We investigated the skill of data mining and machine learning, two advanced forms of artificial intelligence, to predict severe COVID-19 pneumonia based on routine laboratory tests. A sample of 4009 COVID-19 patients was divided into Severe (PaO
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.