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Leveraging fuzzy embedded wavelet neural network with multi-criteria decision-making approach for coronary artery disease prediction using biomedical data.
Sci Rep
December 2024
Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is linked with many risk factors and a variety of symptoms. In the past few years, CAD has experienced a remarkable growth.
View Article and Find Full Text PDFValidation of Risk Prediction Models for Pneumothorax and Intercostal Catheter Insertion Following CT-Guided Lung Biopsy.
J Med Imaging Radiat Oncol
December 2024
Department of Radiology, Grampians Health, Ballarat Central, Victoria, Australia.
Background: CT-guided percutaneous transthoracic needle biopsy is the primary method for diagnosing lung lesions. Widely accepted validated risk prediction models are yet to be developed. A recently published study conducted at Grampians Health Services (GHS) developed two risk prediction models for predicting pneumothorax and intercostal catheter (ICC) insertion.
View Article and Find Full Text PDFFeasibility of Mental Health Triage Call Priority Prediction Using Machine Learning.
Nurs Rep
December 2024
Mental Health and Specialist Services, West Moreton Health, Brisbane, QLD 4076, Australia.
Background: Optimum efficiency and responsiveness to callers of mental health helplines can only be achieved if call priority is accurately identified. Currently, call operators making a triage assessment rely heavily on their clinical judgment and experience. Due to the significant morbidity and mortality associated with mental illness, there is an urgent need to identify callers to helplines who have a high level of distress and need to be seen by a clinician who can offer interventions for treatment.
View Article and Find Full Text PDFPatients With .
J Neurotrauma
December 2024
Department of Medical Sciences, Section of Neurosurgery, Uppsala University, Uppsala, Sweden.
This study compared the roles of extraparenchymal autonomic nervous system (ANS) control of cerebral blood flow (CBF) versus intraparenchymal cerebrovascular autoregulation in 487 patients with aneurysmal subarachnoid hemorrhage (SAH) and 413 patients with traumatic brain injury (TBI). Vasomotion intensity of extraparenchymal and intraparenchymal vessels were quantified as the amplitude of oscillations of arterial blood pressure (ABP) and intracranial pressure (ICP) in the very low frequency range of 0.02-0.
View Article and Find Full Text PDFDigital Light Processing (DLP) 3D Printing Fabrication of Hydrophobic Meshes Incorporating Fluorinated and Silicone-Based Acrylates Combined with Surface Engineering: Comparison of Their Oil-Water Separation Efficiency.
ACS Omega
December 2024
Department of Chemistry, University of Warwick, Coventry CV4 7AL, U.K.
Hydrophobic materials have been fabricated by DLP vat photopolymerization of isobornyl acrylate-based resins with chemical modification and/or surface geometry engineering. Fluorinated and polydimethylsiloxane (PDMS)-based acrylic monomers are used for chemical modification and are incorporated into the printed materials. The water wettability was significantly reduced and plateaued with as low as 5% (w/w) of the auxillary hydrophobic monomer.
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