A systematic review of predictive models for hospital‐acquired pressure injury using machine learning
Y Zhou, X Yang, S Ma, Y Yuan, M Yan - Nursing open, 2023 - Wiley Online Library
Aims and objectives To summarize the use of machine learning (ML) for hospital‐acquired
pressure injury (HAPI) prediction and to systematically assess the performance and …
pressure injury (HAPI) prediction and to systematically assess the performance and …
[HTML][HTML] A comprehensive and improved definition for hospital-acquired pressure injury classification based on electronic health records: comparative study
Background: Patients develop pressure injuries (PIs) in the hospital owing to low mobility,
exposure to localized pressure, circulatory conditions, and other predisposing factors. Over …
exposure to localized pressure, circulatory conditions, and other predisposing factors. Over …
[HTML][HTML] Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing …
Background: Surveillance of hospital-acquired pressure injuries (HAPI) is often suboptimal
when relying on administrative health data, as International Classification of Diseases (ICD) …
when relying on administrative health data, as International Classification of Diseases (ICD) …
Application of Artificial Intelligence in ICU Management
N Ji - Artificial Intelligence in Anesthesiology, 2023 - Springer
Since 2011, with the rapid advancement of natural language processing and image analysis
technologies, artificial intelligence (AI) technology, with deep learning as the main …
technologies, artificial intelligence (AI) technology, with deep learning as the main …