An Interpretable Multimodal Data Mining and Machine Learning Pipeline for COVID-19 Clinical Stage Diagnosis Decision Support
- Funded by North Carolina Biotechnology Center
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19Start & end year
N/AKnown Financial Commitments (USD)
$19,203Funder
North Carolina Biotechnology CenterPrincipal Investigator
Shi ChenResearch Location
United States of AmericaLead Research Institution
UNC - CharlotteResearch Priority Alignment
N/A
Research Category
Clinical characterisation and managementResearch Subcategory
Disease pathogenesisSpecial Interest Tags
Digital HealthStudy Type
UnspecifiedClinical Trial Details
N/ABroad Policy Alignment
PendingAge Group
UnspecifiedVulnerable Population
UnspecifiedOccupations of Interest
Unspecified
Abstract
This project will use data mining and machine learning to better understand COVID-19 clinical stages and to provide a clinical stage decision support system for physicians.