Modelling the impact of the disease on people with COPD – a comparison of feature selection methods

  • Jorge Vaz Ramos Rodrigues de Cabral University of Aveiro
  • Pedro Macedo Center for Research and Development in Mathematics and Applications (CIDMA), University of Aveiro, Aveiro, Portugal
  • Alda Marques Respiratory Research and Rehabilitation Laboratory (Lab3R), School of Health Sciences (ESSUA), University of Aveiro, Aveiro, Portugal; Institute of Biomedicine (iBiMED), School of Health Sciences, University of Aveiro, Aveiro, Portugal
  • Vera Afreixo Center for Research and Development in Mathematics and Applications (CIDMA), University of Aveiro, Aveiro, Portugal
DOI: https://doi.org/10.34624/jshd.v4i1.29107
Keywords: COPD, COVID-19, Feature Selection, LASSO, Normalized Entropy, Stepwise Selection

Abstract

Lockdown due to The COVID-19 pandemic is likely to have influenced the daily life of people with chronic obstructive pulmonary disease. Criteria to choose the most appropriate methods to select features in datasets are unclear. We aimed to compare feature selection methods and describe the effect of the COVID-19 lockdown, sociodemographic and clinical features on the impact of the disease on people with COPD. A total of 42 participants with mean age 66.3 years (sd 7.8), 3 to 4 comorbidities (64.3%) and a median CAT score of 9.0 ([Q1,Q3]=[5.3,11.0]) were included, 24 (57.1%) of whom in the pre-lockdown group. The model obtained with 3 features selected by the entropy approach was at least not worse than the remaining. Our model suggests that lockdown had no influence in COPD impact but those with comorbidities but no emergencies tended to recover well from the pandemic.

Journal of Statistics in Health Decision, 2022 Special Issue, 4th Statistics on Health Decision Making: Real Word Data
Published
2022-07-20
How to Cite
Cabral, J., Macedo, P., Marques, A., & Afreixo, V. (2022). Modelling the impact of the disease on people with COPD – a comparison of feature selection methods. Journal of Statistics on Health Decision, 4(1), 85-89. https://doi.org/10.34624/jshd.v4i1.29107
Issue
Vol 4 No 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
Section
Extended Abstract

Copyright (c) 2022 Jorge Vaz Ramos Rodrigues de Cabral, Pedro Macedo, Alda Marques, Vera Afreixo

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