Machine learning techniques, applications, and potential future opportunities in pressure injuries (bedsores) management: a systematic review
OY Dweekat, SS Lam, L McGrath - International journal of environmental …, 2023 - mdpi.com
Pressure Injuries (PI) are one of the most common health conditions in the United States.
Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) …
Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) …
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 …
An integrated system of multifaceted machine learning models to predict if and when hospital-acquired pressure injuries (bedsores) occur
OY Dweekat, SS Lam, L McGrath - International Journal of Environmental …, 2023 - mdpi.com
Hospital-Acquired Pressure Injury (HAPI), known as bedsore or decubitus ulcer, is one of the
most common health conditions in the United States. Machine learning has been used to …
most common health conditions in the United States. Machine learning has been used to …
An integrated system of Braden scale and random Forest using real-time diagnoses to predict when hospital-acquired pressure injuries (bedsores) occur
OY Dweekat, SS Lam, L McGrath - International Journal of Environmental …, 2023 - mdpi.com
Background and Objectives: Bedsores/Pressure Injuries (PIs) are the second most common
diagnosis in healthcare system billing records in the United States and account for 60,000 …
diagnosis in healthcare system billing records in the United States and account for 60,000 …
[HTML][HTML] Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation
Background Numerous pressure injury prediction models have been developed using
electronic health record data, yet hospital-acquired pressure injuries (HAPIs) are increasing …
electronic health record data, yet hospital-acquired pressure injuries (HAPIs) are increasing …
An Integrated Framework of Multifaceted Machine Learning, Metaheuristics, and Braden Scale to Predict Hospital-Acquired Pressure Injuries (Bedsores)
OY Dweekat - 2023 - search.proquest.com
Abstract Hospital-Acquired Pressure Injuries (HAPIs), known as bedsores, are the second
most common diagnosis in healthcare system billing records in the United States and …
most common diagnosis in healthcare system billing records in the United States and …