Can machine learning methods be used for identification of at-risk neonates in low-resource settings? A prospective cohort study

• Main Authors: Babar S Hasan (Author), Zahra Hoodbhoy (Author), Devyani Chowdhury (Author), Bart Bijnens (Author), Amna Khan (Author), Mariana Nogueira (Author)
• Format: Book
• Published: BMJ Publishing Group, 2023-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Introduction Timely identification of at-risk neonates (ARNs) in the community is essential to reduce mortality in low-resource settings. Tools such as American Academy of Pediatrics pulse oximetry (POx) and WHO Young Infants Clinical Signs (WHOS) have high specificity but low sensitivity to identif...