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) …

Background: Hospital-acquired pressure injuries (HAPIs) constitute a significant challenge
harming thousands of people worldwide yearly. While various tools and methods are used …

The individual differences among children with autism spectrum disorder (ASD) may make it
challenging to achieve comparable benefits from a specific exercise intervention program. A …

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 …

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 …

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 …

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 …

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 …

Abstract Background Pressure injuries (PIs) place a substantial burden on healthcare
systems worldwide. Risk stratification of those who are at risk of developing PIs allows …

Purpose In recent times, growing uncertainty has emerged regarding the effectiveness of
standard pressure ulcer (PU) risk assessment tools, which are suspected to be no better …