Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data

• Hoofdauteurs: Subhasish Das (Auteur), Mustafa Mahfuz (Auteur), Shah Mohammad Fahim (Auteur), Tahmeed Ahmed (Auteur), Md Ashraful Alam (Auteur), S M Tafsir Hasan (Auteur), Mark Hoogendoorn (Auteur), Robert H J Bandsma (Auteur), Teun Zuiderent-Jerak (Auteur), Lauren Erdman (Auteur), Wieger Voskuijl (Auteur), Daniella Brals (Auteur), Bartlomiej Boczek (Auteur), Paraskevi Massara (Auteur)
• Formaat: Boek
• Gepubliceerd in: BMJ Publishing Group, 2024-07-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

Introduction Treatment in the intensive care unit (ICU) generates complex data where machine learning (ML) modelling could be beneficial. Using routine hospital data, we evaluated the ability of multiple ML models to predict inpatient mortality in a paediatric population in a low/middle-income count...