[HTML][HTML] Risk factors predicting hospital-acquired pressure injury in adult patients: an overview of reviews
I Wang, RM Walker, BM Gillespie, I Scott… - International Journal of …, 2024 - Elsevier
Background Hospital-acquired pressure injuries remain a significant patient safety threat.
Current well-known pressure injury risk assessment tools have many limitations and …
Current well-known pressure injury risk assessment tools have many limitations and …
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) …
Systematic Review for Risks of Pressure Injury and Prediction Models Using Machine Learning Algorithms
Pressure injuries are increasing worldwide, and there has been no significant improvement
in preventing them. This study is aimed at reviewing and evaluating the studies related to the …
in preventing them. This study is aimed at reviewing and evaluating the studies related to the …
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 …
Machine learning‐based prediction models for pressure injury: A systematic review and meta‐analysis
J Pei, X Guo, H Tao, Y Wei, H Zhang… - International Wound …, 2023 - Wiley Online Library
Despite the fact that machine learning (ML) algorithms to construct predictive models for
pressure injury development are widely reported, the performance of the model remains …
pressure injury development are widely reported, the performance of the model remains …
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 …
A hybrid system of Braden scale and machine learning to predict hospital-acquired pressure injuries (bedsores): a retrospective observational cohort study
OY Dweekat, SS Lam, L McGrath - Diagnostics, 2022 - mdpi.com
Background: The Braden Scale is commonly used to determine Hospital-Acquired Pressure
Injuries (HAPI). However, the volume of patients who are identified as being at risk stretches …
Injuries (HAPI). However, the volume of patients who are identified as being at risk stretches …
Exploring risk factors and their differences on suicidal ideation and suicide attempts among depressed adolescents based on decision tree model
Y Wang, J Liu, S Chen, C Zheng, X Zou… - Journal of affective …, 2024 - Elsevier
Background Suicide has been recognized as a major global public health issue. Depressed
adolescents are more prone to experiencing it. We explore risk factors and their differences …
adolescents are more prone to experiencing it. We explore risk factors and their differences …
[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 …
Forecasting natural rubber prices using commodity market indicators: a machine learning approach
P Nyondo, R Varghese - International Journal of Revenue …, 2024 - inderscienceonline.com
Natural rubber is an essential raw material in sectors such as automotive, construction,
healthcare and manufacturing. Volatility in natural rubber prices can have a long-run impact …
healthcare and manufacturing. Volatility in natural rubber prices can have a long-run impact …