Preadmission assessment of extended length of hospital stay with rfecv-etc and hospital-specific data

HIGHLIGHTS

• who: Chinedu I. Ossai from the School of Health Sciences, Department of Health and Biostatistics, Swinburne University, John Street Hawthorn, Victoria, Australia have published the Article: Preadmission assessment of extended length of hospital stay with RFECV-ETC and hospital-specific data, in the Journal: Neurology
• what: The 10 features and their corresponding number of subclasses that are used in this study to model ELOHS are shown in Table 1. poor true positive and negative rates estimation, and model underfitting because of the poor learning performance of algorithms .
• how: To ensure that patients who . . .
  

   

  

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