[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 …

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) …

Systematic Review for Risks of Pressure Injury and Prediction Models Using Machine Learning Algorithms

ED Barghouthi, AY Owda, M Asia, M Owda - Diagnostics, 2023 - mdpi.com
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 …

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 …

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 …

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 …

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 …

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 …

[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 …

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 …