Predicting the severity of dengue fever in children on admission based on clinical features and laboratory indicators: application of classification tree analysis

समान संसाधन

• Predicting the severity of dengue fever in children on admission based on clinical features and laboratory indicators: application of classification tree analysis
  द्वारा: Khansoudaphone Phakhounthong, और अन्य
  प्रकाशित: (2018-03-01)
• Long-term impact of childhood malaria infection on school performance among school children in a malaria endemic area along the Thai–Myanmar border
  द्वारा: Vorasan, Nutchavadee, और अन्य
  प्रकाशित: (2015)
• Estimating the True Accuracy of Diagnostic Tests for Dengue Infection Using Bayesian Latent Class Models
  द्वारा: Pan-ngum, Wirichada, और अन्य
  प्रकाशित: (2013)
• Evaluation of the Diagnostic Accuracy of a Typhoid IgM Flow Assay for the Diagnosis of Typhoid Fever in Cambodian Children Using a Bayesian Latent Class Model Assuming an Imperfect Gold Standard
  द्वारा: Moore, Catrin E., और अन्य
  प्रकाशित: (2014)
• Impact of glucose-6-phosphate dehydrogenase deficiency on dengue infection in Myanmar children
  द्वारा: May, Win Lai, और अन्य
  प्रकाशित: (2019)