Type
Funder
Country
—
Documents
63
through any edge
Papers
0
authorship edges
Awards made
33
28 grant numbers
Named as funder
63
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What University of North Carolina at Chapel Hill has funded
33 awards under 28 distinct grant numbers, across 10 documents. A further 63 documents name it as a funder without a grant number — a weaker claim, counted separately.
Distinguishing Death from Disenrollment in Claims Data Using a Readily Implemented Machine Learning Algorithmgrant T32-HS000032 · 2021-10-09Machine Learning Can Unlock Insights Into Mortalitygrant T32-HS000032 · 2022-09-15openalex-w4299437192grant P30 AI50410De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repositorygrant UL1TR001427 · 2023-07-07Iterative Causal Forest: A Novel Algorithm for Subgroup Identificationgrant R01 AG056479 · 2023-11-07openalex-w4400023073grant R01 AG056479Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programsgrant UL1TR001427 · 2024-10-21Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programsgrant UL1TR001427 · 2024-11-05Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs.grant UL1TR001427 · 2025-07-26Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Studygrant 00097 · 2020-11-07
10 of 96 funding edges