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

• 主要な著者: Khansoudaphone Phakhounthong (著者), Pimwadee Chaovalit (著者), Podjanee Jittamala (著者), Stuart D. Blacksell (著者), Michael J. Carter (著者), Paul Turner (著者), Kheng Chheng (著者), Soeung Sona (著者), Varun Kumar (著者), Nicholas P. J. Day (著者), Lisa J. White (著者), Wirichada Pan-ngum (著者)
• フォーマット: 図書
• 出版事項: BMC, 2018-03-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract Background Dengue fever is a re-emerging viral disease commonly occurring in tropical and subtropical areas. The clinical features and abnormal laboratory test results of dengue infection are similar to those of other febrile illnesses; hence, its accurate and timely diagnosis for providing...