A comparison of unsupervised methods based on dichotomous data to identify clusters of airways symptoms: latent class analysis and partitioning around medoids methods.

R. Amaral (Porto, Portugal), T. Jacinto (Porto, Portugal), A. Pereira (Porto, Portugal), R. Almeida (Porto, Portugal), J. Fonseca (Porto, Portugal)

Source: International Congress 2018 – Airway disease: recent discoveries
Session: Airway disease: recent discoveries
Session type: Thematic Poster
Number: 4429
Disease area: Airway diseases

Congress or journal article abstractE-poster

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R. Amaral (Porto, Portugal), T. Jacinto (Porto, Portugal), A. Pereira (Porto, Portugal), R. Almeida (Porto, Portugal), J. Fonseca (Porto, Portugal). A comparison of unsupervised methods based on dichotomous data to identify clusters of airways symptoms: latent class analysis and partitioning around medoids methods.. 4429

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