A machine learning approach to identify perspectives of people living with pulmonary fibrosis

Journal Article (2026)
Author(s)

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)

Research Group
Information and Communication Technology
DOI related publication
https://doi.org/10.1183/23120541.01836-2025 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Information and Communication Technology
Journal title
ERJ Open Research
Issue number
5
Volume number
12
Article number
01836-2025
Page Views
21
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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