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A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation (Preprint)

(2020)10.2196/preprints.24246Source: DataRank Database

A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation (Preprint) is a research paper (2020). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: goldTopics (23)IDs (PubMed, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Max Brenner ORCID,Ping Wang ORCID,Thomas McGinn ORCID,Jamie S. Hirsch ORCID,Douglas P. Barnaby ORCID

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W4205274018

National Institutes of Health

Grant: 5R35GM118337-02

Novel Approaches to Maintaining Organ Function in Sepsis

National Institutes of Health

Grant: 3R24AG064191-01S1

Supporting Roybal P30 Centers Through a Single DSMBF

National Institutes of Health

Grant: 5R01LM012836-05

Re-engineering Precision Therapeutics Through N-of-1 Trials

goldLicense: cc-by

https://doi.org/10.2196/preprints.24246

https://www.jmir.org/2021/2/e24246/PDF

Fields of Study

Sepsis Diagnosis and TreatmentEmergency and Acute Care StudiesChronic Obstructive Pulmonary Disease (COPD) Research03 medical and health sciences0302 clinical medicine

Keywords

Receiver operating characteristicTriageMedicineEmergency departmentLogistic regressionEarly warning scorePredictive modellingCoronavirus disease 2019 (COVID-19)Mechanical ventilationMachine learningEmergency medicineBrier scoreWarning systemArtificial intelligenceMedical emergencyDiseaseComputer scienceInternal medicine

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being