A machine learning approach to identify perspectives of people living with pulmonary fibrosis
Delian E. Hofman (Erasmus MC)
Ruixuan Zhang (TU Delft - Technology, Policy and Management)
Rembrandt Oltmans (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Johanna M. Hendriks (Erasmus MC, TU Delft - Civil Engineering & Geosciences)
Catharina C. Moor (Erasmus MC)
Marlies Wijsenbeek-Lourens (Erasmus MC)
Jiwon Jung (Erasmus MC, TU Delft - Industrial Design Engineering)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
People with PF and their families share disease experiences and information on social media, providing a novel source for insights in their perspectives. While machine learning analysis shows promise, further refinement is needed to enhance accuracy