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Corrigendum: Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis.

Yimin Qu1,2,3, Yuanyuan Zhuo4, Jack Lee1,2

  • 1Centre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.

Frontiers in Neurology
|August 14, 2023
PubMed
Summary
This summary is machine-generated.

This study highlights the importance of accurate scientific data. Ensuring correct digital object identifiers (DOIs) is crucial for research integrity and accessibility.

Keywords:
haemorrhagic strokeischemic strokemachine-learning methodretinal image analysisstroke subtypes classification

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Area of Science:

  • Correction of scientific literature
  • Digital object identifier (DOI) accuracy

Context:

  • Ensuring the integrity of scientific publications
  • Maintaining retrievability of research articles

Purpose:

  • To correct an erroneous digital object identifier (DOI)
  • To ensure proper citation and access to the research

Summary:

  • This entry serves as a correction notice for a previously published article.
  • The correction pertains to the digital object identifier (DOI) associated with the article.

Impact:

  • Facilitates accurate citation and referencing
  • Improves the discoverability and accessibility of scientific research
  • Upholds the standards of scientific publishing