Exploring machine learning algorithms to predict acute respiratory tract infection and identify its determinants among children under five in Sub-Saharan Africa

• Hauptverfasser: Tirualem Zeleke Yehuala (Verfasst von), Bezawit Melak Fente (Verfasst von), Sisay Maru Wubante (Verfasst von), Nebiyu Mekonnen Derseh (Verfasst von)
• Format: Buch
• Veröffentlicht: Frontiers Media S.A., 2024-11-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

BackgroundThe primary cause of death for children under the age of five is acute respiratory infections (ARI). Early predicting acute respiratory tract infections (ARI) and identifying their predictors using supervised machine learning algorithms is the most effective way to save the lives of millio...