Selected article for: "decision tree and information gain"
Author: Christopher M. Petrilli; Simon A. Jones; Jie Yang; Harish Rajagopalan; Luke F. O'Donnell; Yelena Chernyak; Katie Tobin; Robert J. Cerfolio; Fritz Francois; Leora I. Horwitz
Title: Factors associated with hospitalization and critical illness among 4,103 patients with COVID-19 disease in New York City
  • Document date: 2020_4_11
    • ID: 8prg1goh_33
    Snippet: In a maximum information gain decision tree for admission, the most important feature at the top-level branch point was age >65, followed by obesity; for critical illness, the top branch point was SpO2<88, followed by procalcitonin >0.5, troponin <0.1 (protective), age >64 and CRP>200. (See Figure 2A and Figure 2B ).....
    Document: In a maximum information gain decision tree for admission, the most important feature at the top-level branch point was age >65, followed by obesity; for critical illness, the top branch point was SpO2<88, followed by procalcitonin >0.5, troponin <0.1 (protective), age >64 and CRP>200. (See Figure 2A and Figure 2B )

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