• Challenges In Identifying Asthma Subgroups Using Unsupervised Statistical Learning Techniques 

      Prosperi, Mattia C. F.; Sahiner, Umit M.; Belgrave, Danielle; Sackesen, Cansin; Buchan, Iain E.; Simpson, Angela; Yavuz, Tolga S.; Kalayci, Omer; Custovic, Adnan (Amer Thoracic Soc, 2013)
      Rationale: Unsupervised statistical learning techniques, such as exploratory factor analysis (EFA) and hierarchical clustering (HC), have been used to identify asthma phenotypes, with partly consistent results. Some of the ...