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 …

[HTML][HTML] An AdaBoost-based algorithm to detect hospital-acquired pressure injury in the presence of conflicting annotations

JC Ho, M Sotoodeh, W Zhang, RL Simpson… - Computers in Biology …, 2024 - Elsevier
Hospital-acquired pressure injury is one of the most harmful events in clinical settings.
Patients who do not receive early prevention and treatment can experience a significant …

[HTML][HTML] A comprehensive and improved definition for hospital-acquired pressure injury classification based on electronic health records: comparative study

M Sotoodeh, W Zhang, RL Simpson… - JMIR Medical …, 2023 - medinform.jmir.org
Background: Patients develop pressure injuries (PIs) in the hospital owing to low mobility,
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 …

E Nurmambetova, J Pan, Z Zhang, G Wu, S Lee… - Jmir Ai, 2023 - ai.jmir.org
Background: Surveillance of hospital-acquired pressure injuries (HAPI) is often suboptimal
when relying on administrative health data, as International Classification of Diseases (ICD) …

[HTML][HTML] Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation

TJ Reese, HJ Domenico, A Hernandez… - JMIR Medical …, 2024 - medinform.jmir.org
Background Numerous pressure injury prediction models have been developed using
electronic health record data, yet hospital-acquired pressure injuries (HAPIs) are increasing …

Examining the concordance in the documented pressure injury site, stage, and count in medical information mart for intensive care-III

W Zhang, M Sotoodeh, JC Ho… - Applied Clinical …, 2021 - thieme-connect.com
Objectives This study aimed to compare the concordance of pressure injury (PI) site, stage,
and count documented in electronic health records (EHRs); explore if PI count during each …

Evaluating Natural Language Processing Packages for Predicting Hospital-Acquired Pressure Injuries From Clinical Notes

S Gu, EW Lee, W Zhang, RL Simpson… - CIN: Computers …, 2024 - journals.lww.com
Incidence of hospital-acquired pressure injury, a key indicator of nursing quality, is directly
proportional to adverse outcomes, increased hospital stays, and economic burdens on …

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 …