2024 Pediatric Sepsis Challenge
Welcome to the challenge! Sepsis is a major cause of death in children, particularly in low- and middle-income countries (LMICs). Timely identification and treatment can prevent most sepsis-related deaths, but early diagnosis remains challenging even in resource-rich settings. Predicting the risk of in-hospital mortality based on admission data can help clinicians identify critically ill children and allocate limited resources efficiently. However, there is currently no recommended mortality prediction model for LMICs. The 2024 Pediatric Sepsis Data Challenge aims to address this issue by inviting participants to develop open-source algorithms using a real-world data-informed synthetic dataset to predict in-hospital mortality and length of stay in children with sepsis.
