AIMC Topic: Pressure Ulcer

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Predicting the Development of Surgery-Related Pressure Injury Using a Machine Learning Algorithm Model.

The journal of nursing research : JNR Dec 21, 2020
BACKGROUND: Surgery-related pressure injury (SRPI) is a serious problem in patients who undergo cardiovascular surgery. Identifying patients at a high risk of SRPI is important for clinicians to recognize and prevent it expeditiously. Machine learnin...
Risk Assessment Postoperative Complications Adolescent Adult Male Middle Aged Machine Learning Algorithms Prospective Studies Female Risk Factors Aged Cohort Studies Humans Child, Preschool Child ROC Curve Cardiac Surgical Procedures Pressure Ulcer
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A model for predicting 7-day pressure injury outcomes in paediatric patients: A machine learning approach.

Journal of advanced nursing Dec 8, 2020
AIMS: We sought to explore factors associated with early pressure injury progression and build a model for predicting these outcomes using a machine learning approach.
Humans Machine Learning Retrospective Studies Child Pressure Ulcer
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Automatic measurement of pressure ulcers using Support Vector Machines and GrabCut.

Computer methods and programs in biomedicine Nov 24, 2020
BACKGROUND AND OBJECTIVE: Pressure ulcers are regions of trauma caused by a continuous pressure applied to soft tissues between a bony prominence and a hard surface. The manual monitoring of their healing evolution can be achieved by area assessment ...
Algorithms Support Vector Machine Pressure Ulcer Humans
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Integrating 3D Model Representation for an Accurate Non-Invasive Assessment of Pressure Injuries with Deep Learning.

Sensors (Basel, Switzerland) May 21, 2020
Pressure injuries represent a major concern in many nations. These wounds result from prolonged pressure on the skin, which mainly occur among elderly and disabled patients. If retrieving quantitative information using invasive methods is the most us...
Humans Deep Learning Pressure Ulcer
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Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods.

Artificial intelligence in medicine Nov 13, 2019
Pressure injuries represent a tremendous healthcare challenge in many nations. Elderly and disabled people are the most affected by this fast growing disease. Hence, an accurate diagnosis of pressure injuries is paramount for efficient treatment. The...
Wounds and Injuries Pressure Ulcer Aged, 80 and over Middle Aged Image Processing, Computer-Assisted Humans Machine Learning Algorithms Aged
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Artificial Neural Network for in-Bed Posture Classification Using Bed-Sheet Pressure Sensors.

IEEE journal of biomedical and health informatics Feb 13, 2019
Pressure ulcer prevention is a vital procedure for patients undergoing long-term hospitalization. A human body lying posture (HBLP) monitoring system is essential to reschedule posture change for patients. Video surveillance, the conventional method ...
Beds Textiles Pressure Polysomnography Pressure Ulcer Posture Signal Processing, Computer-Assisted Humans Neural Networks, Computer Female Young Adult Adult Male
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Pressure redistributing in-seat movement activities by persons with spinal cord injury over multiple epochs.

PloS one Feb 13, 2019
Pressure ulcers, by definition, are caused by external forces on the tissues, often in the regions of bony prominences. Wheelchair users are at risk to develop sitting-acquired pressure ulcers, which occur in the regions of the ischial tuberosities, ...
Machine Learning Female Adult Male Middle Aged Models, Biological Humans Wheelchairs Sacrum Pressure Coccyx Spinal Cord Injuries Pressure Ulcer
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Classification of pressure ulcer tissues with 3D convolutional neural network.

Medical & biological engineering & computing Jun 15, 2018
A 3D convolution neural network (CNN) of deep learning architecture is supplied with essential visual features to accurately classify and segment granulation, necrotic eschar, and slough tissues in pressure ulcer color images. After finding a region ...
Color Pressure Ulcer Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Tissue classification and segmentation of pressure injuries using convolutional neural networks.

Computer methods and programs in biomedicine Mar 3, 2018
BACKGROUND AND OBJECTIVES: This paper presents a new approach for automatic tissue classification in pressure injuries. These wounds are localized skin damages which need frequent diagnosis and treatment. Therefore, a reliable and accurate systems fo...
Image Processing, Computer-Assisted Wound Healing Models, Statistical Models, Anatomic Humans Tomography, X-Ray Computed Neural Networks, Computer Reproducibility of Results Necrosis Algorithms Sensitivity and Specificity Wounds and Injuries Databases, Factual Pressure Ulcer
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Fuzzy spectral clustering for automated delineation of chronic wound region using digital images.

Computers in biology and medicine Apr 23, 2017
Chronic wound is an abnormal disease condition of localized injury to the skin and its underlying tissues having physiological impaired healing response. Assessment and management of such wound is a significant burden on the healthcare system. Curren...
Wounds and Injuries Pressure Ulcer Male Image Processing, Computer-Assisted Humans Fuzzy Logic Female
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