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Predicting the severity of dengue fever in children on admission based on clinical features and laboratory indicators: application of classification tree analysis.
Phakhounthong, Khansoudaphone; Chaovalit, Pimwadee; Jittamala, Podjanee; Blacksell, Stuart D; Carter, Michael J; Turner, Paul; Chheng, Kheng; Sona, Soeung; Kumar, Varun; Day, Nicholas P J; White, Lisa J; Pan-Ngum, Wirichada.
Affiliation
  • Phakhounthong K; Department of Tropical Hygiene (Biomedical and Health Informatics), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Chaovalit P; National Electronics and Computer Technology Center (NECTEC), Bangkok, Thailand.
  • Jittamala P; Department of Tropical Hygiene (Biomedical and Health Informatics), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Blacksell SD; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Carter MJ; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Turner P; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Chheng K; Institute of Child Health, University College London, London, UK.
  • Sona S; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Kumar V; Angkor Hospital for Children, Siem Reap, Cambodia.
  • Day NPJ; Angkor Hospital for Children, Siem Reap, Cambodia.
  • White LJ; Angkor Hospital for Children, Siem Reap, Cambodia.
  • Pan-Ngum W; Angkor Hospital for Children, Siem Reap, Cambodia.
BMC Pediatr ; 18(1): 109, 2018 03 13.
Article in En | MEDLINE | ID: mdl-29534694
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Severity of Illness Index / Decision Trees / Dengue / Clinical Decision-Making Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Language: En Journal: BMC Pediatr Journal subject: PEDIATRIA Year: 2018 Type: Article Affiliation country: Thailand
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Severity of Illness Index / Decision Trees / Dengue / Clinical Decision-Making Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Language: En Journal: BMC Pediatr Journal subject: PEDIATRIA Year: 2018 Type: Article Affiliation country: Thailand