AIMC Topic: Pressure Ulcer

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Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety metric and an indicator of the quality of nursing care. Timely and accurate prediction of pressure in...
Female Risk Factors Hospitalization Aged Machine Learning Databases, Factual Electronic Health Records Humans ROC Curve Logistic Models Pressure Ulcer Nursing Research Aged, 80 and over Male Middle Aged Risk Assessment
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Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques.

Computers, informatics, nursing : CIN Aug 1, 2020
The incidence rate of pressure injury is a critical nursing quality indicator in clinic care; consequently, factors causing pressure injury are diverse and complex. The early prevention of pressure injury and monitoring of these complex high-risk fac...
Humans Machine Learning Forecasting Chi-Square Distribution Risk Assessment Linear Models Pressure Ulcer
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Predictive Modeling of Pressure Injury Risk in Patients Admitted to an Intensive Care Unit.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Jul 1, 2020
BACKGROUND: Pressure injuries are an important problem in hospital care. Detecting the population at risk for pressure injuries is the first step in any preventive strategy. Available tools such as the Norton and Braden scales do not take into accoun...
Electronic Health Records Female Risk Factors Aged Humans Machine Learning Intensive Care Units Male Middle Aged Risk Assessment Adolescent Aged, 80 and over Young Adult Adult Sensitivity and Specificity Data Mining Critical Care APACHE Pressure Ulcer Child Hospitals, University Hemoglobins
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A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Reliable longitudinal risk prediction for hospitalized patients is needed to provide quality care. Our goal is to develop a generalizable model capable of leveraging clinical notes to predict healthcare-associated diseases 24-96 hours in a...
Support Vector Machine Natural Language Processing Area Under Curve Critical Care Anemia Pressure Ulcer Iatrogenic Disease Electronic Health Records Risk Assessment Deep Learning ROC Curve Humans Retrospective Studies Acute Kidney Injury
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Convolutional neural networks for wound detection: the role of artificial intelligence in wound care.

Journal of wound care Oct 1, 2019
OBJECTIVE: Telemedicine is an essential support system for clinical settings outside the hospital. Recently, the importance of the model for assessment of telemedicine (MAST) has been emphasised. The development of an eHealth-supported wound assessme...
Artificial Intelligence Algorithms Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Diabetic Foot Telemedicine Pressure Ulcer Varicose Ulcer Humans Neural Networks, Computer
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Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Nov 1, 2018
BACKGROUND: Hospital-acquired pressure injuries are a serious problem among critical care patients. Some can be prevented by using measures such as specialty beds, which are not feasible for every patient because of costs. However, decisions about wh...
Aged Adult Male Middle Aged Risk Assessment Severity of Illness Index ROC Curve Machine Learning Electronic Health Records Female Risk Factors Beds Humans Iatrogenic Disease Predictive Value of Tests Critical Care Pressure Ulcer
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Quantifying the human-robot interaction forces between a lower limb exoskeleton and healthy users.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
To counter the many disadvantages of prolonged wheelchair use, patients with spinal cord injuries (SCI) are beginning to turn towards robotic exoskeletons. However, we are currently unaware of the magnitude and distribution of forces acting between t...
Pressure Ulcer Gait Disorders, Neurologic Robotics Humans Spinal Cord Injuries Lower Extremity Mechanical Phenomena Man-Machine Systems
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[Effects of exogenous recombinant human basic fibroblast growth factor on the healing of muscles in rats after deep tissue injury of pressure ulcers].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns Dec 1, 2015
OBJECTIVE: To investigate the effect of exogenous recombinant human basic fibroblast growth factor (rhbFGF) on the healing of muscles in rats after deep tissue injury of pressure ulcers.
Disease Models, Animal Rats Phosphorylation Humans TOR Serine-Threonine Kinases Signal Transduction Animals Fibroblast Growth Factor 2 Proto-Oncogene Proteins c-akt Rats, Sprague-Dawley Recombinant Proteins Myogenin Wound Healing Pressure Ulcer
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Body posture recognition and turning recording system for the care of bed bound patients.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
This paper proposes body posture recognition and turning recording system for assisting the care of bed bound patients in nursing homes. The system continuously detects the patient's body posture and records the length of time for each body posture. ...
Posture Pressure Ulcer Humans Remote Sensing Technology Software Design Algorithms Pressure Fuzzy Logic Nursing Homes
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