ArticleFrontiers in digital health2021
Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU.
Article in Frontiers in digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Performance of artificial intelligence in predicting the prognossis of severe COVID-19: a systematic review and meta-analysis.Frontiers in public health · 2024Pooled it
- Are platelet volume indices of clinical use in COVID-19? A systematic review.Frontiers in cardiovascular medicine · 2022Pooled it
- Lower Serum Magnesium Is Associated with Mortality in Severe COVID-19: A Secondary Analysis of a Randomized Trial.Biological trace element research · 2025Trial
- Evaluating Biomedical Feature Fusion on Machine Learning's Predictability and Interpretability of COVID-19 Severity Types: Model Development, Interpretation, and Validation.JMIR formative research · 2026Article
- Predicting the severity of COVID-19 using machine learning methods.BMC medical informatics and decision making · 2026Article
- A deep learning model for clinical outcome prediction using longitudinal inpatient electronic health records.JAMIA open · 2025Article
- Association between red blood cell distribution width-to-albumin ratio and all-cause mortality in intracerebral hemorrhage.Frontiers in nutrition · 2025Article
- COVID-19 mortality prediction in Hungarian ICU settings implementing random forest algorithm.Scientific reports · 2024Article
- A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care.Patterns (New York, N.Y.) · 2024Article
- A methodological showcase: utilizing minimal clinical parameters for early-stage mortality risk assessment in COVID-19-positive patients.PeerJ. Computer science · 2024Article
- Article
- Predicting the COVID-19 mortality among Iranian patients using tree-based models: A cross-sectional study.Health science reports · 2023Article
- Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features.Scientific reports · 2023Article
- Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study.Journal of cardiovascular development and disease · 2023Article
- Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in south Florida.Frontiers in digital health · 2023Article
- Article
- MedML: Fusing medical knowledge and machine learning models for early pediatric COVID-19 hospitalization and severity prediction.iScience · 2022Article
- Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features.Tomography (Ann Arbor, Mich.) · 2022Article
- A Machine Learning Approach to Predict the Rehabilitation Outcome in Convalescent COVID-19 Patients.Journal of personalized medicine · 2022Article
- Explainable time-series deep learning models for the prediction of mortality, prolonged length of stay and 30-day readmission in intensive care patients.Frontiers in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
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.