Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach
Syed Aqif Mukhtar,
Benjamin R McFadden,
Md Tauhidul Islam
et al.
Abstract:Background: Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs. Objective: The aim of this study was to create a HAC risk prediction machine learning (ML) framework using hospital administrative data collections within North Metropolitan Health Service (NMHS), Western Australia. Method: A retrospective cohort study was performed among 64,315 patients between July 2020 to June 2022 to develop an automated ML f… Show more
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