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Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19
inferredcites →https://doi.org/10.1001/jamanetworkopen.2020.23934openalex-snapshot
Laboratory Findings Associated With Severe Illness and Mortality Among Hospitalized Individuals With Coronavirus Disease 2019 in Eastern Massachusetts
inferredcites →https://doi.org/10.1007/s00125-020-05209-1openalex-snapshot
Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study
inferredcites →https://doi.org/10.1007/s00134-020-05991-xopenalex-snapshot
Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China
inferredcites →https://doi.org/10.1016/j.chest.2020.04.010openalex-snapshot
Risk Factors of Fatal Outcome in Hospitalized Subjects With Coronavirus Disease 2019 From a Nationwide Analysis in China
inferredcites →https://doi.org/10.1016/j.eclinm.2020.100455openalex-snapshot
The association of race and COVID-19 mortality
inferredcites →https://doi.org/10.1016/j.ijcard.2020.03.087openalex-snapshot
Suspected myocardial injury in patients with COVID-19: Evidence from front-line clinical observation in Wuhan, China
inferredcites →https://doi.org/10.1016/j.ijid.2020.03.017openalex-snapshot
Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis
inferredcites →https://doi.org/10.1016/j.lfs.2020.117788openalex-snapshot
The role of biomarkers in diagnosis of COVID-19 – A systematic review
inferredcites →https://doi.org/10.1016/s0140-6736(20)30566-3openalex-snapshot
Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study
inferredcites →https://doi.org/10.1038/s42256-019-0138-9openalex-snapshot
From local explanations to global understanding with explainable AI for trees
inferredcites →https://doi.org/10.1038/s42256-020-0180-7openalex-snapshot
An interpretable mortality prediction model for COVID-19 patients
inferredcites →https://doi.org/10.1055/s-0040-1720978openalex-snapshot
Anticoagulation in COVID-19: Effect of Enoxaparin, Heparin and Apixaban on Mortality
inferredcites →https://doi.org/10.1056/nejmc2007575openalex-snapshot
Coagulopathy and Antiphospholipid Antibodies in Patients with Covid-19
inferredcites →https://doi.org/10.1093/nsr/nwaa036openalex-snapshot
On the origin and continuing evolution of SARS-CoV-2
inferredcites →https://doi.org/10.1097/acm.0b013e3181df0f3bopenalex-snapshot
Democratizing Information Creation From Health Care Data for Quality Improvement, Research, and Education—The Montefiore Medical Center Experience
inferredcites →https://doi.org/10.1111/jth.14810openalex-snapshot
ISTH interim guidance on recognition and management of coagulopathy in COVID‐19
inferredcites →https://doi.org/10.1111/jth.14860openalex-snapshot
ISTH interim guidance on recognition and management of coagulopathy in COVID‐19: A comment
inferredcites →https://doi.org/10.1201/b17972-15openalex-snapshot
Statistical computing
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.1515/cclm-2020-0369openalex-snapshot
Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis
inferredcites →https://doi.org/10.1681/asn.2020030276openalex-snapshot
Renal Involvement and Early Prognosis in Patients with COVID-19 Pneumonia
inferredcites →https://doi.org/10.2196/24018openalex-snapshot
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3390/jcm9061668openalex-snapshot
Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients
inferredcites →https://doi.org/10.4178/epih.e2020007openalex-snapshot
Epidemiologic characteristics of early cases with 2019 novel coronavirus (2019-nCoV) disease in Korea

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Peer Review #2 of "Interpretable deep learning for the prediction of ICU admission likelihood and mortality of COVID-19 patients (v0.1)"
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Peer Review #2 of "Interpretable deep learning for the prediction of ICU admission likelihood and mortality of COVID-19 patients (v0.2)"
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Interpretable deep learning for the prediction of ICU admission likelihood and mortality of COVID-19 patients
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