Publications by authors named "Danilo Batista Vieira de Melo"
Article Synopsis
- Long COVID involves ongoing symptoms that persist beyond typical recovery times, presenting challenges for understanding its clinical impacts across various populations and healthcare systems.
- The study introduces a text mining technique called phonetic text clustering (PTC) to analyze unstructured data from a long COVID survey at a university hospital, aiming to categorize similar medical terms more effectively.
- Using n-gram analysis on Portuguese medical terminology, the research seeks to enhance understanding of long COVID and its implications for global healthcare, with potential for application in various healthcare environments.
Purpose: To assess Meibomian gland dysfunction using meibography in patients with xeroderma pigmentosum and correlate with ocular surface changes.
Methods: This cross-sectional study evaluated patients with xeroderma pigmentosum. All patients underwent a comprehensive and standardized interview.