Work

Machine learning-derived asthma phenotypes in a Swedish adult population-representative sample

Year: 2024

Type: conference-abstract

Source: Epidemiology

DOI: 10.1183/13993003.congress-2024.pa453

Authors: Muwada Bashir, Daniil Lisik, Saliha Selin Ozuygur Ermis, Rani Basna, Reshed Abohalaka, Selin Ercan, Helena Backman, Teet Pullerits, Roxana Mincheva, Göran Wennergren, Madeleine Rådinger, Jan Lotvall, Linda Ekerljung, Hannu Kankaanranta, Bright I. Nwaru

Institutions: University of Gothenburg, Lund University, Umeå University, Sahlgrenska University Hospital, Tampere University, University of Tampere, Wallenberg Centre for Molecular and Translational Medicine

Language: English

Topic: Asthma and respiratory diseases

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404105335

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