ArticleThe Lancet. Digital health2020
Prediction models for COVID-19 clinical decision making.
Article in The Lancet. Digital health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
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
14 citing papers in PubMed.
- Development and Validation of a Multivariable Predictive Model for Mortality of COVID-19 Patients Demanding High Oxygen Flow at Admission to ICU: AIDA Score.Oxidative medicine and cellular longevity · 2021Trial
- Forecasting ICU Acute Kidney Injury with Actionable Lead Time Using Interpretable Machine Learning: Development and Multi-Center Validation.Journal of clinical medicine · 2026Article
- Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19.Scientific reports · 2022Article
- Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data.The Lancet. Digital health · 2022Article
- Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation.JMIR medical informatics · 2022Article
- Predicting SARS-CoV-2 infection duration at hospital admission:a deep learning solution.Medical & biological engineering & computing · 2022Observational
- Supervised learning of COVID-19 patients' characteristics to discover symptom patterns and improve patient outcome prediction.Informatics in medicine unlocked · 2022Article
- Comparison of the Performance of Various Scores in Predicting Mortality Among Patients Hospitalized With COVID-19.Cureus · 2021Article
- AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study.Medical image analysis · 2021Article
- Early outcome detection for COVID-19 patients.Scientific reports · 2021Article
- ABCInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Article
- Patient similarity analytics for explainable clinical risk prediction.BMC medical informatics and decision making · 2021Article
- Article
- Understanding Health Care Administrators' Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System.MDM policy & practiceArticle
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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.