@article{9dfcc9ff761c49d6be5c8ca328199e1d,
title = "Unsupervised Machine Learning Identifies Asthma Phenotypes in the Population-Based West Sweden Asthma Study",
keywords = "adults, asthma, cluster analysis, deep learning, phenotypes, population-based study, Sweden, unsupervised clustering",
author = "Bashir, \{Muwada Bashir Awad\} and Daniil Lisik and Ermis, \{Saliha Selin Ozuygur\} and Rani Basna and Reshed Abohalaka and Selin Ercan and Helena Backman and Teet Pullerits and Roxana Mincheva and G{\"o}ran Wennergren and Madeleine R{\aa}dinger and Jan L{\"o}tvall and Linda Ekerljung and Hannu Kankaanranta and Nwaru, \{Bright I.\}",
year = "2026",
month = feb,
doi = "10.1111/cea.70161",
language = "English",
volume = "56",
pages = "170--172",
journal = "Clinical and Experimental Allergy",
issn = "0954-7894",
publisher = "Wiley-Blackwell",
number = "2",
}